Pavel N. Krivitsky

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Mark S. HandcockDistinguished Professor of Statistics, UCLAVerified email at ucla.edu
Martina MorrisUniversity of WashingtonVerified email at uw.edu
David HunterProfessor of Statistics, Penn State UniversityVerified email at psu.edu
Carter T. ButtsChancellor's Professor, Departments of Sociology, Statistics, Computer Science, and EECS, UC IrvineVerified email at uci.edu
Steven M GoodreauProfessor of Anthropology, Adjunct Professor of Epidemiology, University of WashingtonVerified email at uw.edu
Adrian E. RafteryProfessor of Statistics and Sociology, University of WashingtonVerified email at uw.edu
Michael SchweinbergerProfessor of Statistics, The Pennsylvania State UniversityVerified email at psu.edu
Peter HoffProfessor of Statistical ScienceVerified email at duke.edu
Eric KolaczykProfessor, Department of Mathematics & Statistics, McGill UniversityVerified email at mcgill.ca
Michał BojanowskiKozminski UniversityVerified email at kozminski.edu.pl
Vishesh KarwaTemple UniversityVerified email at temple.edu
Aleksandra SlavkovicPenn State UniversityVerified email at stat.psu.edu
Nicole Bohme CarnegiePrincipal Data Scientist, The Public Health CompanyVerified email at phc.health
Jonathan R. StewartAssistant Professor, Department of Statistics, Florida State UniversityVerified email at fsu.edu
Thomas Süβe (Suesse)Senior lecturer in statistics, University of WollongongVerified email at uow.edu.au
Laura KoehlySocial and Behavioral Research Branch, National Human Genome Research Institute, National InstitutesVerified email at mail.nih.gov
Yan-Xia LinUniversity of WollongongVerified email at uow.edu.au
Noel CressieDistinguished Professor, University of WollongongVerified email at uow.edu.au
Payam MokhtarianHead of Data & AI - MLOps and Data PlatformVerified email at uow.edu.au
Christopher Steven MarcumExecutive Office of the President

Pavel N. Krivitsky

Senior Lecturer in Statistics, School of Mathematics and Statistics, University of New South Wales

Verified email at unsw.edu.au - Homepage

Social Networks Exponential Families Latent Variable Models Statistical Computing


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A separable model for dynamic networks PN Krivitsky, MS Handcock Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2014	563	2014
statnet: Software tools for the statistical analysis of network data MS Handcock, DR Hunter, CT Butts, SM Goodreau, PN Krivitsky, ... The Statnet Project (http://www. statnet. org), 2016	489*	2016
Estimating the integrated likelihood via posterior simulation using the harmonic mean identity AE Raftery, MA Newton, JM Satagopan, PN Krivitsky bepress, 2006	419	2006
Exponential-family random graph models for valued networks PN Krivitsky Electronic Journal of Statistics 6, 1100-1128, 2012	367	2012
Package lme4: Linear mixed-effects models using Eigen and S4 D Bates, M Maechler, B Bolker, S Walker, RHB Christensen, H Singmann, ... R package version 67, 2014	362	2014
Representing degree distributions, clustering, and homophily in social networks with latent cluster random effects models PN Krivitsky, MS Handcock, AE Raftery, PD Hoff Social networks 31 (3), 204-213, 2009	354	2009
Fitting position latent cluster models for social networks with latentnet PN Krivitsky, MS Handcock Journal of Statistical Software 24 (5), 1-23, 2008	190	2008
Adjusting for network size and composition effects in exponential-family random graph models PN Krivitsky, MS Handcock, M Morris Statistical methodology 8 (4), 319-339, 2011	166	2011
Linear mixed-effect models using Eigen and S4 D Bates, M Maechler, B Bolker, S Walker, RHB Christensen, H Singmann, ... R package version 1, 2014	161	2014
Computational statistical methods for social network models DR Hunter, PN Krivitsky, M Schweinberger Journal of Computational and Graphical Statistics 21 (4), 856-882, 2012	140	2012
tergm: Fit, simulate and diagnose models for network evolution based on exponential-family random graph models PN Krivitsky, MS Handcock The Statnet Project (http://www. statnet. org). R package version 3 (0), 2016	116*	2016
On the question of effective sample size in network modeling: An asymptotic inquiry ED Kolaczyk, PN Krivitsky Statistical science: a review journal of the Institute of Mathematical …, 2015	116	2015
Exponential-Family Models of Random Graphs M Schweinberger, PN Krivitsky, CT Butts, JR Stewart Statistical Science 35 (4), 627-662, 2020	110	2020
Inference for social network models from egocentrically sampled data, with application to understanding persistent racial disparities in HIV prevalence in the US PN Krivitsky, M Morris The annals of applied statistics 11 (1), 427, 2017	105	2017
R-Core.(2020). car: Companion to Applied Regression (3.0-10)[Computer software] J Fox, S Weisberg, B Price, D Adler, D Bates, G Baud-Bovy, B Bolker, ...	94
ergm 4: New features PN Krivitsky, DR Hunter, M Morris, C Klumb arXiv preprint arXiv:2106.04997, 2021	69*	2021
ergm: Fit, Simulate and Diagnose Exponential-Family Models for Networks. The Statnet Project, R package version 3.9. 4 MS Handcock, DR Hunter, CT Butts, SM Goodreau, P Krivitsky, M Morris	68*	2018
Sharing social network data: differentially private estimation of exponential family random-graph models V Karwa, PN Krivitsky, AB Slavković Journal of the Royal Statistical Society Series C: Applied Statistics 66 (3 …, 2017	56	2017
latentnet: Latent position and cluster models for statistical networks PN Krivitsky, MS Handcock Seattle, WA. Version 2, 2007	56	2007
networkDynamic: Dynamic extensions for network objects CT Butts, A Leslie-Cook, PN Krivitsky, S Bender-deMoll R package version 0.6, 2014	46*	2014

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