Publications on NSF BRAIN EAGER:


  1. K. Levin, A. Athreya, V. Lyzinski, M. Tang, and Carey E Priebe, "A limit theorem for eigenvectors of an omnibus embedding of random dot product graphs," submitted, 2017.

  2. Michael W. Trosset, Mingyue Gao, and Carey E. Priebe, "On the Power of Likelihood Ratio Tests in Dimension-Restricted Submodels," submitted, 2016.

  3. J. Yoder and Carey E Priebe, "A model-based semi-supervised clustering methodology," submitted and under review at Journal of the American Statistical Association, 2015.


  1. 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.

  2. 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.

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

  4. 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.


  1. Youngser Park, Heng Wang, Tobias Nòˆbauer, Alipasha Vaziri, and Carey E. Priebe, "Anomaly Detection on Whole-Brain Functional Imaging of Neuronal Activity using Graph Scan Statistics," 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-2015), Workshop on Outlier Definition, Detection, and Description (ODDx3), August 10, Sydney, Australia

Last Modified: