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
Daniel Lewis SussmanBoston UniversityVerified email at bu.edu
"Jeff Solka" OR "J. L. Solka" OR "Jeffre...Naval Surface Warfare CenterVerified email at navy.mil
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
Zlatic MartaVerified email at janelia.hhmi.org
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
Hayden HelmPrincipal Researcher @ Helivan ResearchVerified email at helivan.io
Jesús Arroyo ReliónTexas A&M UniversityVerified email at tamu.edu
Albert CardonaMRC LMB and University of CambridgeVerified email at mrc-lmb.cam.ac.uk
Jonathan LarsonMicrosoft ResearchVerified email at microsoft.com
Tilak RatnanatherJohns Hopkins UniversityVerified email at cis.jhu.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	1077	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	510	2017
Scan statistics on enron graphs CE Priebe, JM Conroy, DJ Marchette, Y Park Computational & Mathematical Organization Theory 11, 229-247, 2005	434	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	335	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	301	1993
{FlashGraph}: Processing {Billion-Node} graphs on an array of commodity {SSDs} D Zheng, D Mhembere, R Burns, J Vogelstein, CE Priebe, AS Szalay 13th USENIX Conference on File and Storage Technologies (FAST 15), 45-58, 2015	294	2015
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	289	2014
Statistical inference on random dot product graphs: a survey A Athreya, DE Fishkind, M Tang, CE Priebe, Y Park, JT Vogelstein, ... Journal of Machine Learning Research 18 (226), 1-92, 2018	288	2018
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	227*	2015
The connectome of an insect brain M Winding, BD Pedigo, CL Barnes, HG Patsolic, Y Park, T Kazimiers, ... Science 379 (6636), eadd9330, 2023	225	2023
Adaptive mixtures CE Priebe Journal of the American Statistical Association 89 (427), 796-806, 1994	220	1994
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	191	2015
Random forests for photometric redshifts S Carliles, T Budavári, S Heinis, C Priebe, AS Szalay The Astrophysical Journal 712 (1), 511, 2010	188	2010
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	172	2016
The two-to-infinity norm and singular subspace geometry with applications to high-dimensional statistics J Cape, M Tang, CE Priebe Annals of Statistics 47 (5), 2405-2439, 2019	169	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	157	2017
A statistical interpretation of spectral embedding: the generalised random dot product graph P Rubin-Delanchy, J Cape, M Tang, CE Priebe Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2022	156	2022
Universally consistent vertex classification for latent positions graphs M Tang, DL Sussman, CE Priebe Annals of Statistics 41 (3), 1406-1430, 2013	150	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	145	2016
Perfect clustering for stochastic blockmodel graphs via adjacency spectral embedding V Lyzinski, DL Sussman, M Tang, A Athreya, CE Priebe Electron. J. Statist. 8 (2), 2905-2922, 2014	144	2014

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