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


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Saturated reconstruction of a volume of neocortex N Kasthuri, KJ Hayworth, DR Berger, RL Schalek, JA Conchello, ... Cell 162 (3), 648-661, 2015	920	2015
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	412	2017
Scan statistics on enron graphs CE Priebe, JM Conroy, DJ Marchette, Y Park Computational & Mathematical Organization Theory 11, 229-247, 2005	411	2005
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	286	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	282	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	271	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	261	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	202	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	177*	2015
Random forests for photometric redshifts S Carliles, T Budavári, S Heinis, C Priebe, AS Szalay The Astrophysical Journal 712 (1), 511, 2010	165	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	153	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	144	2016
Universally consistent vertex classification for latent positions graphs M Tang, DL Sussman, CE Priebe	130	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	129*	2016
Perfect clustering for stochastic blockmodel graphs via adjacency spectral embedding V Lyzinski, DL Sussman, M Tang, A Athreya, CE Priebe	126	2014
The two-to-infinity norm and singular subspace geometry with applications to high-dimensional statistics J Cape, M Tang, CE Priebe	114	2019
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	114	2017
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	113	2013
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

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