Carey E. Priebe

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Joshua T. VogelsteinDept of Biomedical Engineering, Johns Hopkins UniversityVerified email at jhu.edu
Youngser ParkResearch Scientist, Johns Hopkins UniversityVerified email at jhu.edu
David Marchettenaval surface warfare centerVerified email at navy.mil
Minh TangNorth Carolina State UniversityVerified email at ncsu.edu
Vince LyzinskiUniversity of MarylandVerified email at umd.edu
"Jeff Solka" OR "J. L. Solka" OR "Jeffre...Naval Surface Warfare CenterVerified email at navy.mil
Daniel Lewis SussmanBoston UniversityVerified email at bu.edu
Randal BurnsProfessor of Computer Science, Johns Hopkins UniversityVerified email at cs.jhu.edu
Avanti AthreyaApplied Mathematics and Statistics, Johns Hopkins UniversityVerified email at jhu.edu
Joshua CapeUniversity of Wisconsin–MadisonVerified email at wisc.edu
Cencheng ShenUniversity of DelawareVerified email at udel.edu
Keith D. LevinAssistant Professor, University of Wisconsin-MadisonVerified email at wisc.edu
Michael I. MillerProfessor and Director of Biomedical Engineering, Johns Hopkins UniversityVerified email at jhu.edu
John M. ConroyIDA Center for Computing SciencesVerified email at super.org
Zlatic MartaVerified email at janelia.hhmi.org
Jesús Arroyo ReliónTexas A&M UniversityVerified email at tamu.edu
Tilak RatnanatherJohns Hopkins UniversityVerified email at cis.jhu.edu
A. S. SzalayBlooomberg Distinguished Professor, Johns Hopkins UniversityVerified email at jhu.edu
Albert CardonaMRC LMB and University of CambridgeVerified email at mrc-lmb.cam.ac.uk
Elvan CeyhanAuburn UniversityVerified email at auburn.edu

Carey E. Priebe

Professor of Applied Mathematics and Statistics, Johns Hopkins University

Verified email at jhu.edu - Homepage

statistical inference for high-dimensional and graph data


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Saturated reconstruction of a volume of neocortex N Kasthuri, KJ Hayworth, DR Berger, RL Schalek, JA Conchello, ... Cell 162 (3), 648-661, 2015	899	2015
Scan statistics on enron graphs CE Priebe, JM Conroy, DJ Marchette, Y Park Computational & Mathematical Organization Theory 11, 229-247, 2005	405	2005
The complete connectome of a learning and memory centre in an insect brain K Eichler, F Li, A Litwin-Kumar, Y Park, I Andrade, CM Schneider-Mizell, ... Nature 548 (7666), 175-182, 2017	397	2017
A consistent adjacency spectral embedding for stochastic blockmodel graphs DL Sussman, M Tang, DE Fishkind, CE Priebe Journal of the American Statistical Association 107 (499), 1119-1128, 2012	281	2012
Comparative evaluation of pattern recognition techniques for detection of microcalcifications in mammography KS Woods, CC Doss, KW Bowyer, JL Solka, CE Priebe, ... International Journal of Pattern Recognition and Artificial Intelligence 7 …, 1993	279	1993
Discovery of brainwide neural-behavioral maps via multiscale unsupervised structure learning JT Vogelstein, Y Park, T Ohyama, RA Kerr, JW Truman, CE Priebe, ... Science 344 (6182), 386-392, 2014	264	2014
Flashgraph: Processing billion-node graphs on an array of commodity ssds DM Da Zheng, R Burns, J Vogelstein, CE Priebe, AS Szalay 13th USENIX Conference on File and Storage Technologies (FAST 15), 45-58, 2015	258	2015
Adaptive mixtures CE Priebe Journal of the American Statistical Association 89 (427), 796-806, 1994	218	1994
Statistical inference on random dot product graphs: a survey A Athreya, DE Fishkind, M Tang, CE Priebe, Y Park, JT Vogelstein, ... The Journal of Machine Learning Research 18 (1), 8393-8484, 2017	192	2017
Fast approximate quadratic programming for graph matching JT Vogelstein, JM Conroy, V Lyzinski, LJ Podrazik, SG Kratzer, ET Harley, ... PLOS one 10 (4), e0121002, 2015	175*	2015
Random forests for photometric redshifts S Carliles, T Budavári, S Heinis, C Priebe, AS Szalay The Astrophysical Journal 712 (1), 511, 2010	164	2010
Graph matching: Relax at your own risk V Lyzinski, DE Fishkind, M Fiori, JT Vogelstein, CE Priebe, G Sapiro IEEE transactions on pattern analysis and machine intelligence 38 (1), 60-73, 2015	150	2015
Community detection and classification in hierarchical stochastic blockmodels V Lyzinski, M Tang, A Athreya, Y Park, CE Priebe IEEE Transactions on Network Science and Engineering 4 (1), 13-26, 2016	141	2016
Universally consistent vertex classification for latent positions graphs M Tang, DL Sussman, CE Priebe	129	2013
A limit theorem for scaled eigenvectors of random dot product graphs A Athreya, CE Priebe, M Tang, V Lyzinski, DJ Marchette, DL Sussman Sankhya A 78, 1-18, 2016	124*	2016
Perfect clustering for stochastic blockmodel graphs via adjacency spectral embedding V Lyzinski, DL Sussman, M Tang, A Athreya, CE Priebe	120	2014
Consistent adjacency-spectral partitioning for the stochastic block model when the model parameters are unknown DE Fishkind, DL Sussman, M Tang, JT Vogelstein, CE Priebe SIAM Journal on Matrix Analysis and Applications 34 (1), 23-39, 2013	112	2013
Consistent latent position estimation and vertex classification for random dot product graphs DL Sussman, M Tang, CE Priebe IEEE transactions on pattern analysis and machine intelligence 36 (1), 48-57, 2013	111	2013
A semiparametric two-sample hypothesis testing problem for random graphs M Tang, A Athreya, DL Sussman, V Lyzinski, Y Park, CE Priebe Journal of Computational and Graphical Statistics 26 (2), 344-354, 2017	108	2017
The two-to-infinity norm and singular subspace geometry with applications to high-dimensional statistics J Cape, M Tang, CE Priebe	107	2019

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