SELECTED REFEREED JOURNAL PUBLICATIONS
(Selected conference publications can be found here.)
(Selected submitted papers can be found here.)

(Papers sponsored by Microsoft can be found here.)
(Papers sponsored by DARPA D3M can be found here.)
(Papers sponsored by DARPA XDATA can be found here.)
(Papers sponsored by NSF BRAIN EAGER can be found here.)
(Papers sponsored by JHU HLTCOE can be found here.)


  1. Avanti Athreya, Zachary Lubberts, Youngser Park, Carey E. Priebe, "Euclidean mirrors and dynamics in network time series," Journal of the American Statistical Association, accepted for publication, 2024


  2. Tiona Zuzul, Emily Cox Pahnke, Jonathan Larson, Patrick Bourke, Nicholas Caurvina, Fereshteh Amini, Neha Parikh Shah, Youngser Park, Joshua Vogelstein, Jeffrey Weston, Christopher White, Carey E. Priebe, "Dynamic Silos: Increased Modularity in Intra-organizational Communication Networks during the Covid-19 Pandemic," Management Science, accepted for publication, 2022


  3. Keith Levin, Carey E Priebe,Vince Lyzinski, "Vertex Nomination in Richly Attributed Networks," Journal of Machine Learning Research, accepted for publication, 2023


  4. Hayden S. Helm, Weiwei Yang, Ashwin De Silva, Joshua T. Vogelstein, Carey E Priebe, "Approximately optimal domain adaptation with Fisher's Linear Discriminant Analysis," Mathematics, vol 12, no 5, pp746, 2024 publisher site


  5. Cencheng Shen, Jonathan Larson, Ha Trinh, Xihan Qin, Youngser Park, Carey E Priebe, "Discovering Communication Pattern Shifts in Large-Scale Networks using Encoder Embedding and Vertex Dynamics," IEEE Transactions on Network Science and Engineering, vol 11, no 2, pp 2100-2109, 2024. publisher site


  6. Anton A. Alyakin, Joshua Agterberg, Hayden S. Helm, Carey E. Priebe, "Correcting a Nonparametric Two-sample Graph Hypothesis Test for Graphs with Different Numbers of Vertices with Applications to Connectomics," Applied Network Science, vol 9, no 1, 2024. publisher site


  7. Benjamin D. Pedigo, Mike Powell, Eric W. Bridgeford, Michael Winding, Carey E Priebe, Joshua T Vogelstein, "Generative network modeling reveals quantitative definitions of bilateral symmetry exhibited by a whole insect brain connectome," eLife, vol 12, 2023. publisher site


  8. Benjamin D. Pedigo, Michael Winding, Carey E. Priebe, Joshua T. Vogelstein, "Bisected graph matching improves automated pairing of bilaterally homologous neurons from connectomes," Network Neuroscience, vol 7, no 2, pp 522-538, 2023. publisher site


  9. Hayden Helm, Amitabh Basu, Avanti Athreya, Youngser Park, Joshua Vogelstein, Carey E. Priebe, Michael Winding, Marta Zlatic, Albert Cardona, Patrick Bourke, Jonathan Larson, Marah Abdin, Piali Choudhury, Weiwei Yang, Christopher White, "Distance-based Positive and Unlabeled Learning for Ranking," Pattern Recognition, vol 134, 2023. publisher site


  10. Aranyak Acharyya, Joshua Agterberg, Michael W. Trosset, Youngser Park, Carey E Priebe, "Semisupervised regression in latent structure networks on unknown manifolds," Applied Network Science, vol 8, no 75, 2023. publisher site


  11. Gecia Bravo-Hermsdorff, Lee M. Gunderson, Pierre-André Maugis, Carey E. Priebe, "Quantifying Network Similarity using Graph Cumulants," Journal of Machine Learning Research, vol 24, no 187, pp 1−27, 2023. publisher site


  12. Ian Gallagher, Andrew Jones, Anna Bertiger, Carey E Priebe, Patrick Rubin-Delanchy "Spectral clustering of weighted graphs," Journal of the American Statistical Association, DOI: 10.1080/01621459.2023.2225239, 2023. publisher site


  13. Tianyi Chen, Youngser Park, Ali Saad-Eldin, Zachary Lubberts, Avanti Athreya, Benjamin D. Pedigo, Joshua T. Vogelstein, Francesca Puppo, Gabriel A. Silva, Alysson R. Muotri, Weiwei Yang, Christopher M. White, Carey E Priebe, "Discovering a change point in a time series of organoid networks via the iso-mirror," Applied Network Science, vol 8, no 45, 2023, publisher site


  14. Michael Winding, Benjamin D Pedigo, Christopher L Barnes, Heather G Patsolic, Youngser Park, Tom Kazimiers, Akira Fushiki, Ingrid V Andrade, Feng Li, Javier Valdes-Aleman, Avinash Khandelwal, Nadine Randel, Elizabeth Barsotti, Ana Correia, Richard D Fetter, Volker Hartenstein, Carey E Priebe, Joshua T Vogelstein, Albert Cardona, Marta Zlatic, "The connectome of an insect brain," Science, vol 379, no 6636, 2023, publisher site (This works honored for contributing to one of National Geographic's seven most inspiring medical breakthroughs of 2023.)


  15. Al-Fahad M. Al-Qadhi, Carey E. Priebe, Hayden S. Helm, Vince Lyzinski "Subgraph nomination: Query by Example Subgraph Retrieval in Networks," Statistics and Computing, vol 33, no 52, pp 1-22, 2023 publisher site


  16. Avanti Athreya, Michael Kane, Bryan Lewis, Zachary Lubberts, Vince Lyzinski, Youngser Park, Carey E. Priebe, Minh Tang, "Numerical tolerance for spectral decompositions of random dot product graphs,", Journal of Computational and Graphical Statistics, vol 32, no 1, pp 145-156, 2023. publisher site


  17. Jacob Comer, Douglas C. Comer, Ioana A. Dumitru, Carey E. Priebe, Jesse L. Patsolic, "Sampling Methods for Archaeological Predictive Modeling: Spatial Autocorrelation and Model Performance," Journal of Archaeological Science: Reports, vol 48, no 103814, 2023, publisher site


  18. Cong Mu, Youngser Park, Carey E. Priebe, "Dynamic Network Sampling for Community Detection," Applied Network Science, vol 8, no 5, pp 1-18, 2023, publisher site


  19. Cencheng Shen, Qizhe Wang, Carey E. Priebe, "One-Hot Graph Encoder Embedding," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, no. 6, pp. 7933-7938, 2023, publisher site


  20. Fangzheng Xie, Joshua Cape, Carey E. Priebe, Yanxun Xu, "Bayesian Estimation of Sparse Spiked Covariance Matrices in High Dimensions,", Bayesian Analysis, vol 17, no 4, pp 1193-1217, 2022, publisher site


  21. Jaewon Chung, Bijan Varjavand, Jesus Arroyo, Anton Alyakin, Joshua Agterberg, Minh Tang, Joshua T. Vogelstein, Carey E. Priebe, "Valid Two-Sample Graph Testing via Optimal Transport Procrustes and Multiscale Graph Correlation with Applications in Connectomics," Stat, vol 11, no 1, e429, 2022, publisher site


  22. Carey E. Priebe, Cencheng Shen, Ningyuan (Teresa) Huang, Tianyi Chen, "A Simple Spectral Failure Mode for Graph Convolutional Networks," IEEE Transactions on Pattern Analysis and Machine, vol 44, no 11, pp 8689-8693, 2022. publisher site


  23. Angelo Mele, Lingxin Hao, Joshua Cape, Carey E Priebe, "Spectral estimation of large stochastic blockmodels with discrete nodal covariates," Journal of Business & Economic Statistics, vol 0, num ja, pp 1-42, 2022. publisher site


  24. Oscar Hernan Madrid Padilla, Yi Yu, Carey E Priebe "Change point localization in dependent dynamic nonparametric random dot product graphs," Journal of Machine Learning Research, vol 23, no 234, pp 1−59, 2022. publisher site


  25. Patrick Rubin-Delanchy, Joshua Cape, Minh Tang, Carey E. Priebe, "A statistical interpretation of spectral embedding: the generalised random dot product graph," Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol 84, no 4, 1446-1473, 2022. publisher site


  26. Cong Mu, Angelo Mele, Lingxin Hao, Joshua Cape, Avanti Athreya, Carey E. Priebe, "On spectral algorithms for community detection in stochastic blockmodel graphs with vertex covariates," IEEE Transactions on Network Science and Engineering, vol 9, no 5, pp 3373-3384, 2022, publisher site


  27. Guodong Chen and Hayden S. Helm and Kate Lytvynets and Weiwei Yang, Carey E. Priebe, "Mental State Classification Using Multi-graph Features," Frontiers in Human Neuroscience, section Brain-Computer Interfaces, vol 16, no 930291, July 8, 2022, publisher site


  28. Joshua Agterberg, Zachary Lubberts, Carey E. Priebe, "Entrywise Estimation of Singular Vectors of Low-Rank Matrices with Heteroskedasticity and Dependence," IEEE Transactions on Information Theory, vol 68, no 7, pp 4618-4650, 2022, publisher site


  29. Konstantinos Pantazis, Daniel L. Sussman, Youngser Park, Carey E Priebe, Vince Lyzinski, "Multiplex graph matching matched filters," Applied Network Science, vol 7, no 29, 2022, publisher site


  30. Zachary M. Pisano, Joshua S. Agterberg, Carey E Priebe, Daniel Q. Naiman, "Spectral graph clustering via the Expectation-Solution algorithm," Electronic Journal of Statistics, vol. 16, no. 1, pp. 3135-3175, 2022.


  31. Runbing Zheng, Vince Lyzinski, Carey E. Priebe, Minh Tang, "Vertex nomination between graphs via spectral embedding and quadratic programming," Journal of Computational and Graphical Statistics, vol 31, no 4, pp 1254-1268, 2022. publisher site


  32. Michael J. Harrower, Joseph C. Mazzariello, A. Catherine D'Andrea, Smiti Nathan, Habtamu Mekonnen, Ioana A. Dumitru, Carey E. Priebe, Kifle Zerue, Youngser Park, "Aksumite Settlement Patterns: Site Size Hierarchy and Spatial Clustering Analyses," Journal of Archaeological Research, 2022, publisher site


  33. Minh Tang, Joshua Cape, Carey E. Priebe, "Asymptotically efficient estimators for stochastic blockmodels: the naive MLE, the rank-constrained MLE, and the spectral," Bernoulli Journal, vol 28, no 2, pp 1049-1073, 2022. publisher site


  34. Eric W. Bridgeford, Shangsi Wang, Zhi Yang, Zeyi Wang, Ting Xu, Cameron Craddock, Jayanta Dey, Gregory Kiar, William Gray-Roncal, Carlo Colantuoni, Christopher Douville, Stephanie Noble, Carey E. Priebe, Brian Caffo, Michael Milham, Xi-Nian Zuo, Consortium for Reliability and Reproducibility, Joshua T. Vogelstein "Eliminating accidental deviations to minimize generalization error and maximize reliability: applications in connectomics and genomics,", PLOS Computational Biology, vol 17, no 9, pp 1-20, 2021, publisher site


  35. Ketan Mehta, Rebecca F. Goldin, David Marchette, Joshua T. Vogelstein, Carey E. Priebe, Giorgio A. Ascoli, "Neuronal Classification from Network Connectivity via Adjacency Spectral Embedding," Network Neuroscience, vol 5, no 3, pp 689-710, 2021, publisher site


  36. Jaewon Chung, Eric Brideford, Jesús Arroyo, Benjamin D. Pedigo, Ali Saad-Eldin, Vivek Gopalakrishnan, Liang Xiang, Carey E. Priebe, and Joshua T. Vogelstein, "Statistical Connectomics," Annual Review of Statistics and Its Application, vol 8, pp 463-492, 2021.


  37. Jesús Arroyo, Avanti Athreya, Joshua Cape, Guodong Chen, Carey E. Priebe, and Joshua T. Vogelstein, "Inference for multiple heterogeneous networks with a common invariant subspace," Journal of Machine Learning Research, vol 22, no 142, pp 1-49, 2021 publisher site


  38. Jesús Arroyo, Carey E Priebe, Vince Lyzinski "Graph matching between bipartite and unipartite networks: to collapse, or not to collapse, that is the question," IEEE Transactions on Network Science and Engineering, vol 8, no 4, pp 3019-3033, 2021, publisher site


  39. Keith Levin, Farbod Roosta-Khorasano, Minh Tang, Michael W. Mahoney, Carey E. Priebe, "Limit theorems for out-of-sample extensions of the adjacency and Laplacian spectral embeddings," Journal of Machine Learning Research, vol 22, no 194, pp 1-59, 2021. publisher site


  40. Donniell E. Fishkind, Felix Parker, Hamilton Sawczuk, Lingyao Meng, Eric Bridgeford, Avanti Athreya, Carey E. Priebe, Vince Lyzinski "The Phantom Alignment Strength Conjecture," Applied Network Science, vol 6, no 62, 2021. publisher site


  41. Donniell E. Fishkind, Avanti Athreya, Lingyao Meng, Vince Lyzinski, Carey E Priebe, "On a complete and sufficient statistic for the correlated Bernoulli random graph model," Electronic Journal of Statistics, vol 15, pp 2336-2359, 2021. publisher site


  42. Congyuan Yang, Carey E. Priebe, Youngser Park, David J. Marchette, "Simultaneous Dimensionality and Complexity Model Selection for Spectral Graph Clustering," Journal of Computational and Graphical Statistics, vol 30, no 2, pp 422-441, 2021. publisher site


  43. Shangsi Wang, Jesus Arroyo, Joshua T. Vogelstein, Carey E. Priebe, "Joint Embedding of Graphs," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol 43, no 4, pp 1324-1336, 2021. publisher site


  44. Jesús Arroyo, Daniel L. Sussman, Carey E. Priebe, Vince Lyzinski, "Maximum Likelihood Estimation and Graph Matching in Errorfully Observed Networks," Journal of Computational and Graphical Statistics, vol 0, no ja, pg 1-33, 2021. publisher site


  45. Avanti Athreya, Minh Tang, Youngser Park, Carey E. Priebe, "On estimation and inference in latent structure random graphs," Statistical Science, vol 36, no 1, pp 68-88, 2021. publisher site, pdf copy


  46. Jonathan Rougier, and Carey E. Priebe, "The exact form of the 'Ockham factor' in model selection," The American Statistician, vol 75, no 3, pp 288-293, 2021. publisher site


  47. Daniel L. Sussman, Vince Lyzinski, Youngser Park, Carey E. Priebe, "Matched Filters for Noisy Induced Subgraph Detection," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol 42, no 11, pp 2887-2900, 2020. publisher site


  48. Joshua Agterberg, Youngser Park, Jonathan Larson, Christopher White, Carey E. Priebe, and Vince Lyzinski, "Vertex Nomination, Consistent Estimation, and Adversarial Modification," Electronic Journal of Statistics, vol. 14, no. 2, pp. 3230-3267, 2020. publisher site


  49. Nian Wang, Robert J Anderson, David G Ashbrook, Vivek Gopalakrishnan, Youngser Park, Carey E Priebe, Yi Qi, Joshua T Vogelstein, Robert W Williams, G. Allan Johnson, "Variability and Heritability of Mouse Brain Structure: Microscopic MRI Atlases and Connectomes for Diverse Strains," NeuroImage, vol 222, no 15, 2020. publisher site, cover page


  50. Cencheng Shen, Li Chen, Carey E. Priebe, "Sparse Representation Classification Beyond L1 Minimization and the Subspace Assumption," IEEE Transactions on Information Theory, vol 66, no 8, pp 5061-5071, 2020. publisher site


  51. Gongkai Li, Minh Tang, Nichlas Charon, Carey E. Priebe, "A Central Limit Theorem for Classical Multidimensional Scaling," Electronic Journal of Statistics, vol 14, no 1, pp 2362-2394, 2020. publisher site


  52. Tyler M. Tomita, James Browne, Cencheng Shen, Jesse L. Patsolic, Jason Yim, Carey E. Priebe, Randal Burns, Mauro Maggioni, Joshua T. Vogelstein, "Sparse Projection Oblique Randomer Forests," Journal of Machine Learning Research, vol 21, no 104, pp 1-39, 2020. publisher site


  53. Cencheng Shen, Carey E. Priebe, Jopshua T. Vogelstein, "From Distance Correlation to Multiscale Graph Correlation," Journal of the American Statistical Association, vol 115, no 529, pp 280-291, 2020. publisher site


  54. Heather G. Patsolic, Youngser Park, Vince Lyzinski, Carey E. Priebe, "Vertex Nomination Via Seeded Graph Matching," Statistical Analysis and Data Mining, vol 13, no 3, pp 229-244, June 2020. publisher site


  55. P-A. G. Maugis, Carey E. Priebe, S. C. Olhede, P. J. Wolfe, "Testing for Equivalence of Network Distribution Using Subgraph Counts," Journal of Computational and Graphical Statistics, vol 0, pp. 1-19, 2020. publisher site


  56. Jordan Yoder, Li Chen, Henry Pao, Eric Bridgeford, Keith Levin, Donniell Fishkind, Carey E. Priebe, Vince Lyzinski, "Vertex nomination: The canonical sampling and the extended spectral nomination schemes," Computational Statistics and Data Analysis, vol 145, May 2020. publisher site


  57. Joshua T Vogelstein, Eric W Bridgeford, Qing Wang, Carey E Priebe, Mauro Maggioni, Cencheng Shen, "Discovering and Deciphering Relationships Across Disparate Data Modalities,", eLife, vol. 8 e41690. 15 Jan. doi:10.7554/eLife.41690, 2019. publisher site


  58. Donniell E. Fishkind, Lingyao Meng, Ao Sun, Carey E. Priebe, Vince Lyzinski, "Alignment Strength and Correlation for Graphs," Pattern Recognition Letters, vol 125, no 2019, pp 295-302, 2019. publisher site


  59. Runze Tang, Michael Ketcha, Alexandra Badea, Evan D. Calabrese, Daniel S. Margulies, Joshua T. Vogelstein, Carey E. Priebe, Daniel L. Sussman "Connectome Smoothing via Low-rank Approximations," IEEE Transactions on Medical Imaging, vol. 38, no. 6, pp. 1446-1456, June 2019. publisher site


  60. Youjin Lee, Cencheng Shen, Carey E. Priebe, Joshua T. Vogelstein "Network Dependence Testing via Diffusion Maps and Distance-Based Correlations," Biometrika, vol 106, no 4, pp 857-873, December 2019. publisher site


  61. Joshua Cape, Minh Tang, Carey E. Priebe, "On spectral embedding performance and elucidating network structure in stochastic block model graphs," Network Science, vol 7, no 3, pp 269-291, 2019. publisher site


  62. Joshua Cape, Minh Tang, Carey E. Priebe, "The two-to-infinity norm and singular subspace geometry with applications to high-dimensional statistics," Annals of Statistics, vol 47, no 5, pp 2405-2439, 2019. publisher site


  63. Joshua T Vogelstein, Eric W Bridgeford, Benjamin D Pedigo, Jaewon Chung, Keith Levin, Brett Mensh, Carey E. Priebe, "Connectal coding: discovering the structures linking cognitive phenotypes to individual histories," Current Opinion in Neurobiology, vol 55, no 2019, pp 199-212, 2019.


  64. Vince Lyzinski, Keith Levin, Carey E. Priebe, "On consistent vertex nomination schemes," Journal of Machine Learning Research, vol 20, no 69, pp 1-39, 2019. publisher site


  65. Joshua Cape, Minh Tang, Carey E. Priebe, "Signal-plus-noise matrix models: eigenvector deviations and fluctuations," Biometrika, vol 106, no 1, pp 243-250, 2019.


  66. Carey E. Priebe, Youngser Park, Joshua T. Vogelstein, John M. Conroy, Vince Lyzinski, Minh Tang, Avanti Athreya, Joshua Cape, and Eric Bridgeford, "On a 'Two Truths' Phenomenon in Spectral Graph Clustering," Proceedings of the National Academy of Sciences, vol. 116, no. 13, pp 5995-6000, 2019, publisher site.


  67. Donniell E. Fishkind, Sancar Adali, Heather G. Patsolic, Lingyao Meng, Digvijay Singh, Vince Lyzinski, Carey E. Priebe, "Seeded Graph Matching," Pattern Recognition, vol 87, pp 203-215, 2019. publisher site


  68. Michael A. Rosen, Aaron S. Dietz, Nam Lee, I-Jeng Wang, Jared Markowitz, Rhonda M. Wyskiel, Ting Yang, Carey E. Priebe, Adam Sapirstein, Ayse P. Gurses, Peter J. Pronovost, "Sensor-based Measurement of Critical Care Nursing Workload: Unobtrusive Measures of Nursing Activity Complement Traditional Task and Patient Level Indicators of Workload to Predict Perceived Exertion," PLOS ONE, vol 13, no 10, pp 1-12, October 12, 2018. publisher site


  69. Minh Tang, Carey E. Priebe, "Limit theorems for eigenvectors of the normalized Laplacian for random graphs," Annals of Statistics, vol 46, no 5, pp 2360-2415, 2018. publisher site


  70. Avanti Athreya, Donniell E. Fishkind, Keith Levin, Vince Lyzinski, Youngser Park, Yichen Qin, Daniel L. Sussman, Minh Tang, Joshua T. Vogelstein, Carey E. Priebe, "Statistical inference on random dot product graphs: a survey," Journal of Machine Learning Research, 18(226):1−92, 2018. publisher site


  71. Da Zheng, Disa Mhembere, Vince Lyzinski, Joshua Vogelstein, Carey E. Priebe, Randal Burns, "Semi-External Memory Sparse Matrix Multiplication for Billion-Node Graphs," IEEE Transactions on Parallel and Distributed Systems, vol. 28, no. 5, pp. 1470-1483, 2017.


  72. Vince Lyzinski, Youngser Park, Carey E. Priebe, Michael W. Trosset, "Fast Embedding for JOFC Using the Raw Stress Criterion," Journal of Computational and Graphical Statistics, vol 26, no 4, pp 786-802, 2017.


  73. Joshua Cape, Minh Tang, Carey E. Priebe, "The Kato-Temple inequality and eigenvalue concentration," Electronic Journal of Statistics, vol. 11, no. 2, pp 3954-3978, 2017.


  74. Yichen Qin, Carey E. Priebe, "Robust Hypothesis Testing via Lq-Likelihood," Statistica Sinica, vol. 27, no. 2017, pp. 1793-1813, 2017. publisher site


  75. K. Eichler, F. Li, A. L. Kumar, Y. Park, I. Andrade, C. Schneider-Mizell, T. Saumweber, A. Huser, D. Bonnery, B. Gerber, R. D. Fetter, J. W. Truman, Carey E Priebe, L. F. Abbott, A. Thum, M. Zlatic, and A. Cardona, "The complete connectome of a learning and memory center in an insect brain," Nature, no. 548, pp. 175-182, 2017. bioRxiv site.


  76. Jordan Yoder, Carey E. Priebe, "Semi-supervised K-means++," Journal of Statistical Computation and Simulation, vol. 87, no. 13, pp. 2597-2608, 2017. doi


  77. Cencheng Shen, J. T. Vogelstein, Carey E. Priebe, "Manifold Matching using Shortest-Path Distance and Joint Neighborhood Selection," Pattern Recognition Letters, vol. 92, pp. 41-48, 2017, doi


  78. Minh Tang, Avanti Athreya, Daniel L. Sussman, Vince Lyzinski, Youngser Park, Carey E. Priebe, "A Semiparametric Two-sample Hypothesis Testing for Random Dot Product Graphs," Journal of Computational and Graphical Statistics, vol 26, no 2, pp 344-354, 2017. publisher site


  79. Vince Lyzinski, Minh Tang, Avanti Athreya, Youngser Park, Carey E. Priebe, "Community Detection and Classification in Hierarchical Stochastic Blockmodels," IEEE Transactions on Network Science and Engineering, vol. 4, no. 1, pp 13-26, 2017. publisher site


  80. Minh Tang, Avanti Athreya, Daniel L. Sussman, Vince Lyzinski, Carey E. Priebe, "A Nonparametric Two-sample Hypothesis Testing for Random Dot Product Graphs," Bernoulli Journal, vol. 23, no. 3, pp 1599-1630, 2017. publisher site


  81. Sancar Adali, Carey E. Priebe, "Fidelity-Commensurability Tradeoff in Joint Embedding of Disparate Dissimilarities," Journal of Classification, vol. 33, no. 3, pp. 485-506, doi:10.1007/s00357-016-9214-6, October, 2016.


  82. Vince Lyzinski, Keith Levin, Donniell E. Fishkind, Carey E. Priebe, "On the Consistency of the Likelihood Maximization Vertex Nomination Scheme: Bridging the Gap Between Maximum Likelihood Estimation and Graph Matching," Journal of Machine Learning Research, vol. 17, no. 179, pp. 1-34, 2016, publisher site


  83. V. Lyzinski, D. Fishkind, M. Fiori, J. T. Vogelstein, C. E. Priebe, G. Sapiro, "Graph Matching: Relax at Your Own Risk," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol 38, no 1, pp 60-73, January, 2016.


  84. Nam Lee, Runze Tang, Carey E. Priebe, Michael Rosen, "A model selection approach for clustering a multinomial sequence with non-negative factorization," IEEE Transactions on Pattern Analysis and Machine Intelligence, doi:10.1109/TPAMI.2016.2522443, vol. 38, no. 12, pp. 2345-2358, January, 2016.


  85. Donniell E. Fishkind, Cencheng Shen, Youngser Park, C.E. Priebe, "On the Incommensurability Phenomenon," Journal of Classification, vol. 33, no. 2, pp 185-209, doi:10.1007/s00357-016-9203-9, 2016.


  86. Li Chen, Joshua T. Vogelstein, Vince Lyzinski, Carey E. Priebe, "A Joint Graph Inference Case Study: the C.elegans Chemical and Electrical Connectomes," Worm, vol. 5, no. 2, pp 1, doi: 10.1080/21624054.2016.1142041, 2016, publisher site


  87. Will Megarry, Cabriel Cooney, Douglas Comer, Carey E. Priebe, "Posterior Probability Modelling and Image Classification for Archaeological Site Prospection: Building a Survey Efficacy Model for Identifying Neolithic Felsite Workshops in the Shetland Islands," Remote Sensing, vol 8, no 529, pp 1-18, doi:10.3390/rs8060529, 2016. publisher site


  88. A. Athreya, V. Lyzinski, D. J. Marchette, C. E. Priebe, D. L. Sussman, and M. Tang, "A limit theorem for scaled eigenvectors of random dot product graphs," Sankhya, vol. 78-A, no. 1, pp 1-18, February 2016. publisher site.


  89. Shakira Suwan, Dominic S. Lee, Runze Tang, Daniel L. Sussman, Minh Tang, Carey E. Priebe, "Empirical Bayes Estimation for the Stochastic Blockmodel," Electronic Journal of Statistics 2016, vol. 10, no. 1, 761-782, 2016. publisher site.


  90. L. Chen, C. Shen, J.V. Vogelstein, C. E. Priebe, "Robust Vertex Classification," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol 38, no 3, pp 578-590, March 2016. publisher site.


  91. W. G. Roncal, D. M. Kleissas, J. T. Vogelstein, P. Manavalan, R. Burns, R. J. Vogelstein, C.E. Priebe, M. A. Chevillet, G. D. Hager, "An Automated Images-To-Graphs Pipeline For High Resolution Connectomics," Frontiers in Neuroinformatics, 9:20. doi: 10.3389/fninf.2015.00020.


  92. S. Suwan, D. S. Lee, C.E. Priebe, "Bayesian Vertex Nomination Using Content and Context," WIREs Computational Statistics, doi: 10.1002/wics.1365, vol 7, no 6, pp 400-416, November/December 2015.


  93. C.E. Priebe, Daniel L. Sussman, Minh Tang, Joshua T. Vogelstein, "Statistical inference on errorfully observed graphs," Journal of Computational and Graphical Statistics, vol. 24, no. 4, pp 930-953, 2015.


  94. D. E. Fishkind, V. Lyzinski, H. Pao, L. Chen, C. E. Priebe, "Vertex Nomination Schemes for Membership Prediction," Annals of Applied Statistics, vol. 9, no. 3, pp. 1510-1532, 2015.


  95. V. Lyzinski, D. L. Sussman, D. E. Fishkind, H. Pao, L. Chen, J. T. Vogelstein, Y. Park, C. E. Priebe, "Spectral Clustering for Divide-and-Conquer Graph Matching," Parallel Computing, vol. 47, pp. 70-87, 2015.


  96. N. Kasthuri, K. J. Hayworth, D. R. Berger, R. L. Schalek, J. A. Conchello, S. Knowles-Barley, D. Lee, A. Vázquez-Reina, V. Kaynig, T. R. Jones, M. Roberts, J. L. Morgan, J. C. Tapia, H. S. Seung, W. G. Roncal, J. T. Vogelstein, R. Burns, D. L. Sussman, C. E. Priebe, H. Pfister, and J. W. Lichtman, "Saturated Reconstruction of a Volume of Neocortex," Cell, vol. 162 (3) pp. 648-661, 2015


  97. D.J. Marchette, S.Y. Choi, A. Rukhin and C.E. Priebe, "Neighborhood Homogeneous Labelings of Graphs," Journal of Combinatorial Mathematics and Combinatorial Computing, vol. 93, pp. 201-220, 2015.


  98. J.T. Vogelstein and C.E. Priebe, "Shuffled Graph Classification: Theory and Connectome Applications," Journal of Classification, vol. 32, pp. 3-20, 2015.

  99. J.T. Vogelstein, J.M. Conroy, V. Lyzinski, L.J. Podrazik, S.G. Kratzer, E.T. Harley, D.E. Fishkind, R.J. Vogelstein, and C.E. Priebe, "Fast Approximate Quadratic Programming for Large (Brain) Graph Matching," PLOS ONE, vol 10, no 4, e0121002, April, 2015.


  100. A. F. Alkaya, V. Aksakalli, C. E. Priebe, "A Penalty Search Algorithm for the Obstacle Neutralization Problem," Computers & Operations Research, vol. 53, pp. 165-175, 2015.


  101. M. A. Rosen, A. S. Dietz, T. Yang, C. E. Priebe, and P. J. Pronovost, "An Integrative Framework for Sensor-based Measurement of Teamwork in Healthcare," Journal of the American Medical Informatics Association, Volume 22, Issue 1, pp. 11-18, January 2015.


  102. V. Lyzinski, D. Sussman, M. Tang, A. Athreya, C. E. Priebe, "Perfect Clustering for Stochastic Blockmodel Graphs via Adjacency Spectral Embedding," Electronic Journal of Statistics, vol. 8, no. 2, pp. 2905-2922, 2014, publisher site


  103. C. Shen, M. Sun, M. Tang, and C. E. Priebe, "Generalized Canonical Correlation Analysis for Classification," Journal of Multivariate Analysis, vol. 130, pp. 310-322, 2014.


  104. V. Lyzinski, D. E. Fishkind, and C. E. Priebe, "Seeded graph matching for correlated Erdos-Renyi graphs," Journal of Machine Learning Research, vol. 15, no. Nov, pp. 3513−3540, 2014, publisher site


  105. J.T. Vogelstein*, Y. Park*, T. Ohyama*, R. Kerr, J.W. Truman, C.E. Priebe^, M. Zlatic^, "Discovery of Brainwide Neural-Behavioral Maps via Multiscale Unsupervised Structure Learning," Science, vol. 344 no. 6182, 386-392, April 25, 2014. doi:10.1126/science.1250298,
    (* co-first author, ^ co-corresponding author)
    ("... usher in a new era of integrated methods ... achieved a technical, multidisciplinary tour de force ..."),
    (Reuters article, Nature's Research Highlights article, ScienceNews article, TheScientist article, MedicalXpress article), Access the recommendation on F1000Prime


  106. H. Wang, M. Tang, Y. Park, and C. E. Priebe, "Locality statistics for anomaly detection in time series of graphs," IEEE Transactions on Signal Processing, Vol 62, No 3, pp 703-717, February, 2014.


  107. Daniel L. Sussman, Minh Tang, C.E. Priebe, "Consistent Latent Position Estimation and Vertex Classification for Random Dot Product Graphs," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol 36, No 1, pp 48-57, January 2014. publisher site


  108. N.H. Lee, M. Tang, J. Yoder, C.E. Priebe, "On latent position inference from doubly stochastic messaging activities," Multiscale Modeling & Simulation, Vol. 11, No. 3, pp 683-718, 2013 publisher site.


  109. Ming Sun and C.E. Priebe, "Efficiency Investigation of Manifold Matching for Text Document Classification," Pattern Recognition Letters, Vol. 34, No. 11, pp 1263–1269, August 2013, 2013.


  110. Minh Tang, Daniel L. Sussman, and C.E. Priebe, "Universally consistent vertex classification for latent positions graphs," Annals of Statistics, Vol. 41, No. 3, pp 1406–1430, 2013.


  111. Y. Qin and C.E. Priebe, "Maximum Lq-Likelihood Estimation via the Expectation Maximization Algorithm: A Robust Estimation of Mixture Models," Journal of the American Statistical Association, Vol. 108, No. 503, pp 914-928, 2013.


  112. Y. Park, C.E. Priebe, and A. Youssef, "Anomaly Detection in Times Series of Graphs using Fusion of Graph Invariants," IEEE Journal of Selected Topics in Signal Processing, Vol. 7, No. 1, pp. 67-75, February, 2013. publisher site.


  113. M. Tang, Y. Park, N.H. Lee, and C.E. Priebe, "Attribute fusion in a latent process model for time series of graphs ," IEEE Transactions on Signal Processing, Vol. 61, No. 7, pp. 1721-1732, April, 2013. supplement. publisher site.


  114. J.T. Vogelstein, W.R. Gray, R.J. Vogelstein, and C.E. Priebe, "Graph Classification using Signal Subgraphs: Applications in Statistical Connectomics," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.35, No.7, pp.1539-1551, July 2013.


  115. D.E. Fishkind, D.L. Sussman, M. Tang, J.T. Vogelstein, and C.E. Priebe, "Consistent adjacency-spectral partitioning for the stochastic block model when the model parameters are unknown ," SIAM Journal on Matrix Analysis and Applications, Vol. 34, No. 1, pp. 23-39, 2013. publisher site


  116. C.E. Priebe, D.J. Marchette, Z. Ma, S. Adali, "Manifold Matching: Joint Optimization of Fidelity and Commensurability," Brazilian Journal of Probability and Statistics, Vol. 27, No. 3, pp. 377–400, May, 2013.


  117. C.E. Priebe, J.T. Vogelstein and D. Bock "Optimizing the quantity/quality trade-off in connectome inference," Communications in Statistics - Theory and Methods, Volume 42, Issue 19, pp. 3455-3462, 2013.


  118. M. Sun, C.E. Priebe, and M. Tang, "Generalized Canonical Correlation Analysis for Disparate Data Fusion," Pattern Recognition Letters, Vol. 34, No. 2, pp. 194-200, 2013.


  119. D.L. Sussman, M. Tang, D.E. Fishkind, and C.E. Priebe, "A consistent adjacency spectral embedding for stochastic blockmodel graphs," Journal of the American Statistical Association, Vol. 107, No. 499, pp. 1119-1128, 2012.


  120. C.E. Priebe, J.L. Solka, D.J. Marchette, A.C. Bryant, "Quantitative Horizon Scanning for Mitigating Technological Surprise: Detecting the potential for collaboration at the interface," Statistical Analysis and Data Mining, Vol. 5, No. 3, pp. 178-186, 2012.


  121. Z. Ma, D.J. Marchette, C.E. Priebe, "Fusion and Inference from Multiple Data Sources in Commensurate Space," Statistical Analysis and Data Mining, Vol. 5, No. 3, pp. 187-193, 2012.


  122. A. Rukhin and C.E. Priebe, "On the Limiting Distribution of a Graph Scan Statistic," Communications in Statistics - Theory and Methods, Vol. 41, No. 7, pp. 1151-1170, 2012.


  123. T. Yang and C.E. Priebe, "The Effect of Model Misspecification on Semi-supervised Classification," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 33, No. 10, pp. 2093-2103, 2011.


  124. N.H. Lee and C.E. Priebe, "A Latent Process Model for Time Series of Attributed Random Graphs," Statistical Inference for Stochastic Processes, Vol. 14, No. 3, pp. 231-253, 2011.


  125. A. Aksakalli, D.E. Fishkind, C.E. Priebe and X. Ye, "The Reset Disambiguation Policy for Navigating Stochastic Obstacle Fields," Naval Research Logistics, Vol. 58, No. 4, pp. 389-399, 2011.


  126. H. Pao, G.A. Coppersmith and C.E. Priebe, "Statistical Inference on Random Graphs: Comparative Power Analyses via Monte Carlo," Journal of Computational and Graphical Statistics, Vol. 20, No. 2, pp. 395-416, 2011.


  127. X. Ye, D.E. Fishkind, L. Abrams, and C.E. Priebe, "Sensor Information Monotonicity in Disambiguation Protocols," Journal of The OR Society (JORS), Vol 62, No. 1, pp. 142-151, 2011.


  128. A. Rukhin and C.E. Priebe, "A Comparative Power Analysis of the Maximum Degree and Size Invariants for Random Graph Inference," Journal of Statistical Planning and Inference, Vol. 141, pp. 1041-1046, 2011.


  129. N. Ram Mohan, C.E. Priebe, Y. Park, and M. John, "Statistical Analysis of Hippocampus Shape Using a Modified Mann-Whitney-Wilcoxon Test," International Journal of Bio-Science and Bio-Technology, Vol. 3, No. 1, pp. 19-26, 2011.


  130. C.E. Priebe, "Fisher's Conditionality Principle in Statistical Pattern Recognition," The American Statistician, Vol. 65, No. 3, pp. 167-169, 2011.


  131. J.T. Vogelstien, R.J. Vogelstien and C.E. Priebe, "Are mental properties supervenient on brain properties?," Scientific Reports, Vol. 1, No. 100, doi:10.1038/srep00100, 2011.


  132. Z. Ma, A. Cardinal-Stakenas, Y. Park, M.W. Trosset, and C.E. Priebe, "Dimensionality Reduction on the Cartesian Product of Embeddings of Multiple Dissimilarity Matrices," Journal of Classification, Vol. 27, No. 3, pp. 307-321, 2010.


  133. J. Blatz, D.E. Fishkind and C.E. Priebe, "Efficient, Optimal Stochastic-Action Selection When Limited by an Action Budget," Mathematical Methods of Operations Research, Vol. 72, No. 1, pp. 63-74, 2010.


  134. J. Gupchup, A. Terzis, Z. Ma and C.E. Priebe, "Classification-Based Event Detection in Ecological Monitor- ing Sensor Networks," Electronic Journal of Structural Engineering, Special Issue: Wireless Sensor Networks and Practical Applications, pp. 36-44, 2010.


  135. C.E. Priebe, Y. Park, D.J. Marchette, J.M. Conroy, J. Grothendieck, and A.L. Gorin, "Statistical Inference on Attributed Random Graphs: Fusion of Graph Features and Content: An Experiment on Time Series of Enron Graphs," Computational Statistics and Data Analysis, Vol. 54, pp. 1766-1776, 2010.


  136. J. Grothendieck, C.E. Priebe, and A.L. Gorin, "Statistical Inference on Attributed Random Graphs: Fusion of Graph Features and Content," Computational Statistics and Data Analysis, Vol. 54, pp. 1777-1790, 2010.


  137. S. Carliles, T. Budavari, S. Heinis, A.S. Szalay, and C.E. Priebe, "Random Forests for Photometric Redshifts," The Astrophysical Journal, Vol. 712, pp. 511-515, 2010.


  138. X. Ye and C.E. Priebe, "A Graph-Search based Navigation Algorithm for Traversing A Potentially Hazardous Area with Disambiguation," International Journal of Operations Research and Information Systems, Vol. 1, No. 3, pp. 14-27, 2010.


  139. M.I. Miller, C.E. Priebe, Qiu, A., Fischl, B., Kolasny, A., Brown, T., Park, Y., Ratnanather, J.T., Busa, E., Jovicich. J., Yu, P., Dickerson, B.C., Buckner, R.L. and the Morphometry BIRN, "Collaborative Computational Anatomy: An MRI Morphometry Study of the Human Brain via Diffeomorphic Metric Mapping," Human Brain Mapping, Vol. 30, pp. 2132-2141, 2009.


  140. A. Rukhin, C.E. Priebe, and D.M. Healy, "On the Monotone Likelihood Ratio Property for the Convolution of Independent Binomial Random Variables," Discrete Applied Mathematics, Vol. 157, pp. 2562-2564, 2009.


  141. K.E. Giles, M.W. Trosset, D.J. Marchette, and C.E. Priebe, "Iterative Denoising," Computational Statistics, Vol. 23, No. 4, pp. 497-517, 2008.


  142. C.E. Priebe and W.D. Wallis, "On the Anomalous Behaviour of a Class of Locality Statistics," Discrete Mathematics, Vol. 308, pp. 2034-2037, 2008.


  143. D. Karakos, S. Khudanpur, D.J. Marchette, A. Papamarcou, and C.E. Priebe, "On the Minimization of Concave Information Functionals for Unsupervised Classification via Decision Trees," Statistics & Probability Letters, Vol. 78, No. 8, pp. 975-984, 2008.


  144. D.J. Marchette and C.E. Priebe, "Scan Statistics for Interstate Alliance Graphs," Connections, Volume 28, Issue 2, pp. 43-64, 2008.


  145. Y. Park, C.E. Priebe, M.I. Miller, N. Ram Mohan and K.N. Botteron, "Statistical Analysis of Twin Populations using Dissimilarity Measurements in Hippocampus Shape Space," Journal of Biomedicine and Biotechnology, Vol. 2008, Article ID 694297, 5 pages, 2008.


  146. D.J. Marchette and C.E. Priebe, "Predicting Unobserved Links in Incompletely Observed Networks," Computational Statistics and Data Analysis, Vol. 52, pp. 1373-1386, 2008.


  147. N.A. Lee, C.E. Priebe, M.I. Miller, and J.T. Ratnanather, "Validation of Alternating Kernel Mixture Method: Application to Tissue Segmentation of Cortical and Sub-cortical Structures," Journal of Biomedicine and Biotechnology, Vol. 2008, Article ID 346129, 8 pages, 2008.


  148. M.W. Trosset and C.E. Priebe, "The Out-of-Sample Problem for Classical Multidimensional Scaling," Computational Statistics and Data Analysis, Vol. 52, No. 10, pp. 4635-4642, 2008.


  149. M.W. Trosset, C.E. Priebe, Y. Park, and M.I. Miller, "Semisupervised Learning from Dissimilarity Data," Computational Statistics and Data Analysis, Vol. 52, No. 10, pp. 4643-4657, 2008.


  150. D.E. Fishkind, C.E. Priebe, K. Giles, L.N. Smith, and A. Aksakalli, "Disambiguation Protocols Based on Risk Simulation," IEEE Transactions on System, Man and Cybernetics, Part A, Vol. 37, No. 5, pp. 814-823, 2007.


  151. E. Ceyhan, C.E. Priebe, and D.J. Marchette, "A New Family of Random Graphs for Testing Spatial Segregation," Canadian Journal of Statistics, Vol. 35, No. 1, pp. 27-50, 2007.


  152. M. John and C.E. Priebe, "A data-adaptive methodology for finding an optimal weighted generalized MannWhitney-Wilcoxon statistic," Computational Statistics and Data Analysis, Vol. 51, No. 9, pp. 4337-4353, 2007.


  153. J.G. DeVinney and C.E. Priebe, "A new family of proximity graphs: class cover catch digraphs," Discrete Applied Mathematics, Vol. 154, No. 14, pp. 1975-1982, 2006.


  154. E. Ceyhan and C.E. Priebe, "On the Distribution of the Domination Number of a New Family of Parametrized Random Digraphs," Model Assisted Statistics and Applications, Vol. 1, No. 4, pp. 231-255, 2006.


  155. C.E. Priebe, D.J. Marchette, Y. Park, and R.R. Muise, "An Application of Integrated Sensing and Processing Decision Trees for Target Detection and Localization on Digital Mirror Array Imagery," Applied Optics, Vol. 45, No. 13, pp. 3022-3030, 2006.


  156. C.E. Priebe, M.I. Miller, and J.T. Ratnanather, "Segmenting Magnetic Resonance Images via Hierarchical Mixture Modelling," Computational Statistics and Data Analysis, Vol. 50, No. 2, pp. 551-567, 2006.


  157. E. Ceyhan, C.E. Priebe, and J.C. Wierman, "Relative Density of the Random r-Factor Proximity Catch Digraph for Testing Spatial Patterns of Segregation and Association," Computational Statistics and Data Analysis, Vol. 50, No. 8, pp. 1925-1964, 2006.


  158. C.E. Priebe, J.M. Conroy, D.J. Marchette, and Y. Park, "Scan Statistics on Enron Graphs," Computational and Mathematical Organization Theory, Vol. 11, No. 3, pp. 229-247, 2005.


  159. C.E. Priebe, D.E. Fishkind, L.A. Abrams, and C.D. Piatko, "Random Disambiguation Paths for Traversing a Mapped Hazard Field," Naval Research Logistics, Vol. 52, No. 3, pp. 285-292, 2005.


  160. C.K. Eveland, D.A. Socolinsky, C.E. Priebe, and D.J. Marchette, "A Hierarchical Methodology for Class Detection Problems with Skewed Priors," Journal of Classification, Vol. 22, No. 1, pp. 17-48, 2005.


  161. E. Ceyhan and C.E. Priebe, "The use of domination number of a random proximity catch digraph for testing segregation/association," Statistics and Probability Letters, Vol. 73, No. 1, pp. 37-50, 2005.


  162. C.E. Priebe, D.J. Marchette, and D.M. Healy, "Integrated Sensing and Processing Decision Trees," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 26, No. 6, pp. 699-708, 2004.


  163. L.A. Abrams, D.E. Fishkind, and C.E. Priebe, "The Generalized Spherical Homeomorphism Theorem for Digital Images," IEEE Transactions on Medical Imaging, Vol. 23, No. 5, pp. 655-657, 2004.


  164. D.A. Johannsen, E.J. Wegman, J.L. Solka, and C.E. Priebe, "Simultaneous selection of features and metric for optimal nearest neighbor classification," Communications in Statistics: Theory and Methods, Vol. 33, Issue 9, pp. 2137-2158, 2004.


  165. M.I. Miller, M. Hosakere, A.R. Barker, C.E. Priebe, N. Lee, J.T. Ratnanather, L. Wang, M. Gado, J.C. Morris, J.G. Csernansky, "Labeled Cortical Mantle Distance Maps of the Cingulate Quantify Differences Between Dementia of the Alzheimer Type and Healthy Aging," Proceedings of the National Academy of Sciences, Vol. 100, No. 25, pp. 15172-15177, 2003.


  166. C.E. Priebe, J.L. Solka, D.J. Marchette, and B.T. Clark, "Class Cover Catch Digraphs for Latent Class Discovery in Gene Expression Monitoring by DNA Microarrays," Computational Statistics and Data Analysis, Vol. 43, No. 4, pp. 621-632, 2003.


  167. R.S. Pilla, P. Tao, and C.E. Priebe, "Adaptive Methods for Spatial Scan Analysis via Semiparametric Mixture Models," Journal of Computational and Graphical Statistics, Vol. 12, No. 2, pp. 332-353, 2003.


  168. C.E. Priebe, D.J. Marchette, J.G. DeVinney, and D.A. Socolinsky, "Classification Using Class Cover Catch Digraphs," Journal of Classification, Vol. 20, No. 1, pp. 3-23, 2003.


  169. T. Olson, J.S. Pang, and C.E. Priebe, "A Likelihood-MPEC Approach to Target Classification," Mathematical Programming, Ser. A, Vol. 96, pp. 1-31, 2003.


  170. D.J. Marchette and C.E. Priebe, "Characterizing the Scale Dimension of a high dimensional classification problem," Pattern Recognition, Vol. 36, No. 1, pp. 45-60, 2003.


  171. L.A. Abrams, D.E. Fishkind, and C.E. Priebe, "A Proof of the Spherical Homeomorphism Conjecture for Surfaces," IEEE Transactions on Medical Imaging, Vol. 21, No. 12, pp. 1564-1566, 2002.


  172. J.L. Solka, B.T. Clark, and C.E. Priebe, "A Visualization Framework for the Analysis of Hyperdimensional Data," International Journal of Image and Graphics, Vol. 2, No. 1, pp. 145-161, 2002.


  173. J. Xie and C.E. Priebe, "A Weighted Generalization of the Mann-Whitney-Wilcoxon Statistic," Journal of Statistical Planning and Inference, Vol. 102, No. 2, pp. 441-466, 2002.


  174. L.F. James, C.E. Priebe, and D.J. Marchette, "Consistent Estimation of Mixture Complexity," Annals of Statistics, Vol. 29, No. 5, pp. 1281-1296, 2001.


  175. C.E. Priebe, "Olfactory Classification via Interpoint Distance Analysis," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 23, No. 4, pp. 404-413, 2001.


  176. C.E. Priebe and D. Chen, "Spatial Scan Density Estimates," Technometrics, Vol. 43, No. 1, pp. 73-83, 2001.


  177. C.E. Priebe, J.G. DeVinney, and D.J. Marchette, "On the Distribution of the Domination Number for Random Class Cover Catch Digraphs," Statistics and Probability Letters, Vol. 55, No. 3, pp. 239-246, 2001.


  178. C.E. Priebe, D.Q. Naiman, and L. Cope, "Importance Sampling for Spatial Scan Analysis: Computing Scan Statistic p-Values for Marked Point Processes," Computational Statistics and Data Analysis, Vol. 35, No. 4, pp. 475-485, 2001.


  179. D.Q. Naiman and C.E. Priebe, "Computing Scan Statistic p-Values using Importance Sampling, with Applications to Genetics and Medical Image Analysis," Journal of Computational and Graphical Statistics, Vol. 10, No. 2, pp. 296-328, 2001.


  180. C.E. Priebe and D.J. Marchette, "Alternating Kernel and Mixture Density Estimates," Computational Statistics and Data Analysis, Vol. 35, No. 1, pp. 43-65, 2000.


  181. J. Xie and C.E. Priebe, "Generalizing the Mann-Whitney-Wilcoxon Statistic," Journal of Nonparametric Statistics, Vol. 12, pp. 661-682, 2000.


  182. D.S. Lee and C.E. Priebe, "Exact Mean and Mean Squared Error of the Smoothed Bootstrap Mean Integrated Squared Error Estimator," Computational Statistics, Vol. 15, No. 2, pp. 169-181, 2000.


  183. C.E. Priebe and L.J. Cowen, "A Generalized Wilcoxon-Mann-Whitney Statistic," Communications in Statistics: Theory and Methods, Vol. 28, No. 12, pp. 2871-2878, 1999.


  184. H.S. Friedman and C.E. Priebe, "Smoothing Bandwidth Selection for Response Latency Estimation," Journal of Neuroscience Methods, Vol. 87, pp. 13-16, 1999.


  185. J.L. Solka, E.J. Wegman, C.E. Priebe, W.L. Poston, and G.W. Rogers, "Mixture Structure Analysis Using the Akaike Information Criterion and the Bootstrap," Statistics and Computing, Vol. 8, pp. 177-188, 1998.


  186. H.S. Friedman and C.E. Priebe, "Estimating Stimulus Response Latency," Journal of Neuroscience Methods, Vol. 83, pp. 185-194, 1998.


  187. C.E. Priebe, T. Olson, and D.M. Healy, "A Spatial Scan Statistic for Stochastic Scan Partitions," Journal of the American Statistical Association, Vol. 92, No. 440, pp. 1476-1484, 1997.


  188. C.E. Priebe, D.J. Marchette, and G.W. Rogers, "Segmentation of Random Fields via Borrowed Strength Density Estimation," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 19, No.5, pp. 494-499, 1997. (An expanded version of this work is available as Technical Report No. 547, Department of Mathematical Sciences, Johns Hopkins University, Baltimore, MD 21218-2682.)


  189. C.E. Priebe, D.J. Marchette, and G.W. Rogers, "Semiparametric Nonhomogeneity Analysis," Journal of Statistical Planning and Inference, Vol. 59, No. 1, pp. 45-60, 1997.


  190. L.J. Cowen and C.E. Priebe, "Randomized Nonlinear Projections Uncover High-Dimensional Structure," Advances in Applied Mathematics, Vol. 9, pp. 319-331, 1997.


  191. W.L. Poston, E.J. Wegman, C.E. Priebe, and J.L. Solka, "A Deterministic Method for Robust Estimation of Multivariate Location and Shape," Journal of Computational and Graphical Statistics, Vol. 6, No. 3, pp. 300-313, 1997.


  192. D.J. Marchette, R.A. Lorey, and C.E. Priebe, "An Analysis of Local Feature Extraction in Digital Mammography," Pattern Recognition, Vol. 30, No. 9, pp. 1547-1554, 1997.


  193. B.W. Wallet, J.L. Solka, and C.E. Priebe "A Method for Detecting Microcalcifications in Digital Mammograms," Journal of Digital Imaging, Vol. 10, No. 3, pp. 136-139, 1997.


  194. C.E. Priebe, "Nonhomogeneity Analysis Using Borrowed Strength," Journal of the American Statistical Association, Vol. 91, No. 436, pp. 1497-1503, 1996.


  195. D.J. Marchette, C.E. Priebe, G.W. Rogers, and J.L. Solka, "Filtered Kernel Density Estimation," Computational Statistics, Vol. 11, pp. 95-112, 1996.


  196. G.W. Rogers, J.L. Solka, and C.E. Priebe, "A PDP Approach to Localized Fractal Dimension Computation with Segmentation Boundaries," Simulation, Vol. 65, pp. 26-36, 1995.


  197. R.A. Lorey, C.E. Priebe, J.L. Solka, G.W. Rogers, and D.J. Marchette, "Mammographic Computer Assisted Diagnosis Using Computational Statistics Pattern Recognition," Real-Time Imaging, Vol. 1, pp. 95-104, 1995.


  198. C.E. Priebe, "Adaptive Mixtures," Journal of the American Statistical Association, Vol. 89, No. 427, pp. 796-806, 1994.


  199. C.E. Priebe, J.L. Solka, R.A. Lorey, G.W. Rogers, W.L. Poston, M. Kallergi, W. Qian, L.P. Clarke, and R.A. Clark, "The Application of Fractal Analysis to Mammographic Tissue Classification," Cancer Letters, Vol. 77, pp. 183-189, 1994.


  200. W.L. Poston, G.W. Rogers, C.E. Priebe, and J.L. Solka, "A Qualitative Analysis of the Resistive Grid Kernel Estimator," Pattern Recognition Letters, Vol. 15, pp. 219-225, 1994.


  201. C.E. Priebe and D.J. Marchette, "Adaptive Mixture Density Estimation," Pattern Recognition, Vol. 26, No. 5, pp. 771-785, 1993.


  202. K.S. Woods, C.C. Doss, K.W. Bowyer, J.L. Solka, C.E. Priebe, and W.P. Kegelmeyer, "Comparative Evaluation of Pattern Recognition Techniques for Detection of Microcalcifications in Mammography," International Journal of Pattern Recognition and Artificial Intelligence, Vol. 7, No. 6, pp. 1417-1436, 1993.


  203. G.W. Rogers, J.L. Solka, D.S. Malyevac, and C.E. Priebe, "A Self Organizing Network for Computing A Posteriori Conditional Class Probability," IEEE Transactions on Systems, Man, and Cybernetics, Vol. 23, No. 6, pp. 1672-1682, 1993.


  204. J.L. Solka, C.E. Priebe, and G.W. Rogers, "An Initial Assessment of Discriminant Surface Complexity for Power Law Features," Simulation, Vol. 58, pp. 311-318, 1992.


  205. G.W. Rogers, J.L. Solka, C.E. Priebe, and H.H. Szu, "Optoelectronic Computation of Waveletlike-Based Features," Optical Engineering, Vol. 31, No. 9, pp. 1886-1892, 1992.


  206. C.E. Priebe and D.J. Marchette, "Adaptive Mixtures: Recursive Nonparametric Pattern Recognition," Pattern Recognition, Vol. 24, No. 12, pp. 1197-1209, 1991.


  207. D.J. Marchette and C.E. Priebe, "Adaptive Kernel Neural Network," Mathematical and Computer Modelling, Vol. 14, pp. 328-333, 1990.

Last Modified: