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

Donniell E. Fishkind, Lingyao Meng, Ao Sun, Carey E. Priebe, Vince Lyzinski,
"Alignment Strength and
Correlation for Graphs," Pattern Recognition Letters, accepted
for publication, 2019.

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, accepted for publication,
2019. Early Access

Joshua Cape, Minh Tang, Carey E. Priebe,
"On spectral embedding
performance and elucidating network structure in stochastic block
model graphs," Network Science, accepted for publication, 2019.

Youjin Lee, Cencheng Shen, Carey E. Priebe, Joshua T. Vogelstein
"Network Dependence
Testing via Diffusion Maps and DistanceBased Correlations,"
Biometrika, accepted for publication, 2019.

Joshua T Vogelstein, Eric W Bridgeford, Qing Wang, Carey E Priebe, Mauro Maggioni, Cencheng Shen,
"Discovering and Deciphering Relationships Across Disparate Data Modalities,",
eLife, accepted for publication, 2019.

Joshua Cape, Minh Tang, Carey E. Priebe, "The twotoinfinity norm and
singular subspace geometry with applications to highdimensional
statistics," Annals of Statistics, Vol. 47, No. 5, 24052439,
2019. publisher site

Runze Tang, Michael Ketcha, Alexandra Badea, Evan D. Calabrese, Daniel
S. Margulies, Joshua T. Vogelstein, Carey
E. Priebe, Daniel L. Sussman
"Connectome Smoothing via
Lowrank Approximations,"
IEEE Transactions on Medical Imaging, accepted for publication, 2018.

Michael A. Rosen, Aaron S. Dietz, Nam Lee, IJeng Wang, Jared
Markowitz, Rhonda M. Wyskiel, Ting Yang, Carey E. Priebe,
Adam Sapirstein, Ayse P. Gurses, Peter J. Pronovost, "Sensorbased
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, accepted for publication, 2018.

Vince Lyzinski, Keith Levin, Carey E. Priebe,
"On consistent vertex
nomination schemes," Journal of Machine Learning Research, vol
20, no 69, pp 139, 2019. publisher site

Joshua Cape, Minh Tang, Carey E. Priebe,
"Signalplusnoise matrix
models: eigenvector deviations and fluctuations," Biometrika,
vol 106, no 1, pp 243250, 2019.

Cencheng Shen,
Carey E. Priebe, Jopshua T. Vogelstein,
"From Distance Correlation
to Multiscale Graph Correlation," Journal of the American
Statistical Association, vol 0, no 0, pp 122, 2019. publisher site

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 59956000, 2019, publisher
site.

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 203215, 2019. publisher site

Minh Tang, Carey E. Priebe, "Limit theorems for
eigenvectors of the normalized Laplacian for random graphs,"
Annals of Statistics, vol 46, no 5, pp 23602415, 2018. publisher site

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

Da Zheng, Disa Mhembere, Vince Lyzinski, Joshua Vogelstein,
Carey E. Priebe, Randal Burns,
"SemiExternal Memory
Sparse Matrix Multiplication for BillionNode Graphs," IEEE Transactions on Parallel and Distributed Systems, vol. 28, no. 5, pp. 14701483, 2017.

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 786802, 2017.

Joshua Cape, Minh Tang, Carey E. Priebe, "The KatoTemple inequality
and eigenvalue concentration," Electronic Journal of Statistics,
vol. 11, no. 2, pp 39543978, 2017.

Yichen Qin, Carey E. Priebe,
"Robust Hypothesis
Testing via LqLikelihood," Statistica Sinica, vol. 27, no.
2017, pp. 17931813, 2017. publisher site

K. Eichler, F. Li, A. L. Kumar, Y. Park, I. Andrade, C. SchneiderMizell, 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. 175182, 2017. bioRxiv
site.

Jordan Yoder, Carey E. Priebe,
"Semisupervised
Kmeans++," Journal of Statistical Computation and
Simulation, vol. 87, no. 13, pp. 25972608, 2017. doi

Cencheng Shen, J. T. Vogelstein, Carey E. Priebe,
"Manifold Matching
using ShortestPath Distance and Joint Neighborhood
Selection," Pattern Recognition Letters, vol. 92, pp. 4148, 2017, doi

Minh Tang, Avanti Athreya, Daniel L. Sussman, Vince Lyzinski,
Youngser Park, Carey E. Priebe,
"A Semiparametric
Twosample Hypothesis
Testing for Random Dot Product Graphs," Journal of
Computational and Graphical Statistics, vol 26, no 2, pp
344354, 2017. publisher
site

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 1326, 2017. publisher site

Minh Tang, Avanti Athreya, Daniel L. Sussman, Vince Lyzinski,
Carey E. Priebe,
"A Nonparametric
Twosample Hypothesis
Testing for Random Dot Product Graphs," Bernoulli Journal,
vol. 23, no. 3, pp 15991630, 2017. publisher site

Sancar Adali, Carey E. Priebe,
"FidelityCommensurability
Tradeoff in Joint Embedding of Disparate Dissimilarities,"
Journal of Classification, vol. 33, no. 3, pp. 485506,
doi:10.1007/s0035701692146,
October, 2016.

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. 134, 2016,
publisher site

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 6073, January, 2016.

Nam Lee, Runze Tang, Carey E. Priebe, Michael Rosen,
"A model selection
approach for clustering a multinomial sequence with nonnegative
factorization," IEEE Transactions on Pattern Analysis and
Machine Intelligence, doi:10.1109/TPAMI.2016.2522443,
vol. 38, no. 12, pp. 23452358, January, 2016.

Donniell E. Fishkind, Cencheng Shen, Youngser Park, C.E. Priebe, "On the Incommensurability Phenomenon,"
Journal of Classification, vol. 33, no. 2, pp 185209, doi:10.1007/s0035701692039, 2016.

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

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 118, doi:10.3390/rs8060529, 2016. publisher site

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. 78A, no. 1, pp 118, February 2016. publisher site.

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, 761782, 2016. publisher site.

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 578590, March 2016. publisher site.

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
ImagesToGraphs Pipeline For High Resolution Connectomics,"
Frontiers in Neuroinformatics, 9:20. doi: 10.3389/fninf.2015.00020.

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 400416, November/December 2015.

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 930953, 2015.

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. 15101532, 2015.

V. Lyzinski, D. L. Sussman, D. E. Fishkind, H. Pao, L.
Chen, J. T. Vogelstein, Y. Park, C.
E. Priebe, "Spectral Clustering for DivideandConquer Graph Matching,"
Parallel Computing, vol. 47, pp. 7087, 2015.

N. Kasthuri, K. J. Hayworth, D. R. Berger, R. L. Schalek, J. A. Conchello, S. KnowlesBarley, D. Lee, A. VázquezReina, 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. 648661, 2015

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. 201220, 2015.
 J.T. Vogelstein and
C.E. Priebe, "Shuffled
Graph Classification:
Theory and Connectome Applications,"
Journal of Classification, vol. 32, pp. 320, 2015.
 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.

A. F. Alkaya, V. Aksakalli, C. E. Priebe,
"A Penalty Search
Algorithm for the Obstacle Neutralization Problem,"
Computers & Operations Research, vol. 53, pp. 165175, 2015.

M. A. Rosen, A. S. Dietz, T. Yang, C. E. Priebe, and
P. J. Pronovost,
"An
Integrative Framework for Sensorbased Measurement of Teamwork in
Healthcare,"
Journal of the American Medical Informatics Association, Volume 22, Issue 1, pp. 1118, January 2015.

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. 29052922, 2014, publisher
site

C. Shen, M. Sun, M. Tang, and C. E. Priebe,
"Generalized
Canonical Correlation Analysis for Classification," Journal of Multivariate Analysis,
vol. 130, pp. 310322, 2014.

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

J.T. Vogelstein*, Y. Park*, T. Ohyama*,
R. Kerr, J.W. Truman, C.E. Priebe^, M. Zlatic^, "Discovery of Brainwide
NeuralBehavioral Maps via Multiscale Unsupervised Structure
Learning," Science, vol. 344 no. 6182, 386392, April 25, 2014.
doi:10.1126/science.1250298,
(* cofirst author, ^ cocorresponding 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),

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 703717, February, 2014.

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 4857, January 2014. publisher site
 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 683718, 2013
publisher site.

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.

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.
 Y. Qin and
C.E. Priebe,
"Maximum LqLikelihood Estimation via the
Expectation Maximization Algorithm: A Robust Estimation of
Mixture Models," Journal of the American Statistical
Association, Vol. 108, No. 503, pp 914928, 2013.

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. 6775, February, 2013.
publisher site.
 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. 17211732, April, 2013.
supplement.
publisher site.
 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.15391551, July 2013.
 D.E. Fishkind, D.L. Sussman, M. Tang,
J.T. Vogelstein,
and C.E. Priebe, "Consistent adjacencyspectral partitioning for the
stochastic block model when the model parameters are unknown
,"
SIAM Journal on Matrix Analysis and Applications,
Vol. 34, No. 1, pp. 2339,
2013.
publisher site
 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.
 C.E. Priebe, J.T. Vogelstein and D. Bock
"Optimizing the
quantity/quality tradeoff in connectome inference," Communications
in Statistics  Theory and Methods, Volume 42, Issue 19,
pp. 34553462, 2013.
 M. Sun,
C.E. Priebe, and M. Tang, "Generalized Canonical Correlation
Analysis for Disparate Data Fusion,"
Pattern Recognition Letters, Vol. 34, No. 2, pp. 194200, 2013.
 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. 11191128, 2012.
 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. 178186, 2012.
 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. 187193, 2012.
 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. 11511170, 2012.
 T. Yang and C.E. Priebe,
"The Effect of Model Misspecification on
Semisupervised Classification," IEEE Transactions on Pattern Analysis
and Machine Intelligence, Vol. 33, No. 10, pp. 20932103, 2011.
 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. 231253, 2011.
 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. 389399, 2011.
 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. 395416, 2011.
 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. 142151, 2011.
 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. 10411046, 2011.
 N. Ram Mohan, C.E. Priebe, Y. Park, and M. John,
"Statistical Analysis of Hippocampus
Shape Using a Modified MannWhitneyWilcoxon Test,"
International Journal of BioScience and BioTechnology, Vol. 3,
No. 1, pp. 1926, 2011.
 C.E. Priebe, "Fisher's
Conditionality Principle in Statistical Pattern
Recognition," The American Statistician, Vol. 65, No. 3, pp. 167169, 2011.
 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.
 Z. Ma, A. CardinalStakenas, 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. 307321, 2010.
 J. Blatz, D.E. Fishkind and C.E. Priebe,
"Efficient, Optimal StochasticAction
Selection When Limited by an Action Budget," Mathematical
Methods of Operations Research, Vol. 72, No. 1, pp. 6374,
2010.
 J. Gupchup, A. Terzis, Z. Ma and C.E. Priebe,
"ClassificationBased
Event Detection in Ecological Monitor ing Sensor Networks,"
Electronic Journal of Structural Engineering, Special Issue: Wireless
Sensor Networks and Practical Applications, pp. 3644, 2010.
 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. 17661776, 2010.
 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. 17771790, 2010.
 S. Carliles, T. Budavari, S. Heinis,
A.S. Szalay, and C.E. Priebe,
"Random Forests for Photometric
Redshifts," The Astrophysical Journal, Vol. 712, pp. 511515,
2010.
 X. Ye and C.E. Priebe, "A GraphSearch
based Navigation Algorithm for Traversing A Potentially Hazardous
Area with Disambiguation," International Journal of Operations
Research and Information Systems, Vol. 1, No. 3, pp. 1427,
2010.
 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. 21322141, 2009.
 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. 25622564, 2009.
 K.E. Giles, M.W. Trosset, D.J. Marchette,
and C.E. Priebe,
"Iterative Denoising,"
Computational Statistics, Vol. 23, No. 4, pp. 497517, 2008.
 C.E. Priebe and W.D. Wallis,
"On the Anomalous Behaviour of a Class of
Locality Statistics," Discrete Mathematics, Vol. 308,
pp. 20342037, 2008.
 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. 975984, 2008.
 D.J. Marchette and C.E. Priebe,
"Scan Statistics for Interstate
Alliance Graphs," Connections, Volume 28, Issue 2, pp. 4364,
2008.
 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.
 D.J. Marchette and C.E. Priebe,
"Predicting Unobserved Links in
Incompletely Observed Networks," Computational Statistics and
Data Analysis, Vol. 52, pp. 13731386, 2008.
 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 Subcortical Structures," Journal
of Biomedicine and Biotechnology, Vol. 2008, Article ID 346129, 8
pages, 2008.
 M.W. Trosset and C.E. Priebe,
"The OutofSample Problem for
Classical Multidimensional Scaling," Computational
Statistics and Data Analysis, Vol. 52, No. 10, pp. 46354642,
2008.
 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. 46434657, 2008.
 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. 814823, 2007.
 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. 2750, 2007.
 M. John and C.E. Priebe,
"A dataadaptive methodology for
finding an optimal weighted generalized MannWhitneyWilcoxon
statistic," Computational Statistics and Data Analysis,
Vol. 51, No. 9, pp. 43374353, 2007.
 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. 19751982, 2006.
 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. 231255,
2006.
 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. 30223030, 2006.
 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. 551567, 2006.
 E. Ceyhan, C.E. Priebe, and J.C. Wierman,
"Relative Density of the Random
rFactor Proximity Catch Digraph for Testing Spatial Patterns of
Segregation and Association," Computational Statistics and
Data Analysis, Vol. 50, No. 8, pp. 19251964, 2006.
 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. 229247, 2005.
 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. 285292, 2005.
 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. 1748, 2005.
 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. 3750, 2005.
 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. 699708,
2004.
 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. 655657, 2004.
 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. 21372158, 2004.
 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. 1517215177, 2003.
 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. 621632, 2003.
 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. 332353, 2003.
 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. 323, 2003.
 T. Olson, J.S. Pang, and C.E. Priebe,
"A LikelihoodMPEC Approach to Target
Classification," Mathematical Programming, Ser. A, Vol. 96,
pp. 131, 2003.
 D.J. Marchette and C.E. Priebe,
"Characterizing the Scale Dimension of a
high dimensional classification problem," Pattern Recognition,
Vol. 36, No. 1, pp. 4560, 2003.
 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. 15641566,
2002.
 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. 145161, 2002.
 J. Xie and C.E. Priebe,
"A Weighted Generalization of the
MannWhitneyWilcoxon Statistic," Journal of Statistical
Planning and Inference, Vol. 102, No. 2, pp. 441466, 2002.
 L.F. James, C.E. Priebe, and
D.J. Marchette, "Consistent Estimation
of Mixture Complexity," Annals of Statistics, Vol. 29, No. 5,
pp. 12811296, 2001.
 C.E. Priebe,
"Olfactory Classification via
Interpoint Distance Analysis," IEEE Transactions on Pattern
Analysis and Machine Intelligence, Vol. 23, No. 4, pp. 404413,
2001.
 C.E. Priebe and D. Chen,
"Spatial Scan Density Estimates,"
Technometrics, Vol. 43, No. 1, pp. 7383, 2001.
 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. 239246, 2001.
 C.E. Priebe, D.Q. Naiman, and L. Cope,
"Importance Sampling for Spatial Scan
Analysis: Computing Scan Statistic pValues for Marked Point
Processes," Computational Statistics and Data Analysis,
Vol. 35, No. 4, pp. 475485, 2001.
 D.Q. Naiman and C.E. Priebe,
"Computing Scan Statistic pValues
using Importance Sampling, with Applications to Genetics and
Medical Image Analysis," Journal of Computational and
Graphical Statistics, Vol. 10, No. 2, pp. 296328, 2001.
 C.E. Priebe and D.J. Marchette,
"Alternating Kernel and Mixture
Density Estimates," Computational Statistics and Data
Analysis, Vol. 35, No. 1, pp. 4365, 2000.
 J. Xie and C.E. Priebe,
"Generalizing the MannWhitneyWilcoxon
Statistic," Journal of Nonparametric Statistics, Vol. 12,
pp. 661682, 2000.
 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. 169181, 2000.
 C.E. Priebe and L.J. Cowen,
"A Generalized WilcoxonMannWhitney
Statistic," Communications in Statistics: Theory and Methods,
Vol. 28, No. 12, pp. 28712878, 1999.
 H.S. Friedman and C.E. Priebe,
"Smoothing Bandwidth Selection for
Response Latency Estimation," Journal of Neuroscience Methods,
Vol. 87, pp. 1316, 1999.
 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. 177188, 1998.
 H.S. Friedman and C.E. Priebe,
"Estimating Stimulus Response
Latency," Journal of Neuroscience Methods, Vol. 83,
pp. 185194, 1998.
 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. 14761484,
1997.
 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. 494499, 1997. (An expanded version of this
work is available as Technical Report No. 547, Department of
Mathematical Sciences, Johns Hopkins University, Baltimore, MD
212182682.)
 C.E. Priebe, D.J. Marchette, and
G.W. Rogers, "Semiparametric
Nonhomogeneity Analysis," Journal of Statistical Planning and
Inference, Vol. 59, No. 1, pp. 4560, 1997.
 L.J. Cowen and C.E. Priebe,
"Randomized Nonlinear Projections
Uncover HighDimensional Structure," Advances in Applied
Mathematics, Vol. 9, pp. 319331, 1997.
 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. 300313,
1997.
 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. 15471554, 1997.
 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. 136139, 1997.
 C.E. Priebe,
"Nonhomogeneity Analysis Using Borrowed
Strength," Journal of the American Statistical Association,
Vol. 91, No. 436, pp. 14971503, 1996.
 D.J. Marchette, C.E. Priebe, G.W. Rogers, and
J.L. Solka, "Filtered Kernel Density
Estimation," Computational Statistics, Vol. 11, pp. 95112,
1996.
 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. 2636, 1995.
 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,"
RealTime Imaging, Vol. 1, pp. 95104, 1995.
 C.E. Priebe,
"Adaptive Mixtures," Journal of the
American Statistical Association, Vol. 89, No. 427, pp. 796806,
1994.
 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. 183189, 1994.
 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. 219225, 1994.
 C.E. Priebe and D.J. Marchette,
"Adaptive Mixture Density Estimation,"
Pattern Recognition, Vol. 26, No. 5, pp. 771785, 1993.
 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. 14171436,
1993.
 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. 16721682, 1993.
 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. 311318, 1992.
 G.W. Rogers, J.L. Solka, C.E. Priebe, and
H.H. Szu, "Optoelectronic Computation of
WaveletlikeBased Features," Optical Engineering, Vol. 31, No. 9,
pp. 18861892, 1992.
 C.E. Priebe and D.J. Marchette,
"Adaptive Mixtures: Recursive Nonparametric
Pattern Recognition," Pattern Recognition, Vol. 24, No. 12,
pp. 11971209, 1991.
 D.J. Marchette and C.E. Priebe,
"Adaptive Kernel Neural Network,"
Mathematical and Computer Modelling, Vol. 14, pp. 328333,
1990.
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