Pavel N. Krivitsky
Pavel N. Krivitsky
Senior Lecturer in Statistics, School of Mathematics and Statistics, University of New South Wales
Verified email at unsw.edu.au - Homepage
Title
Cited by
Cited by
Year
Estimating the integrated likelihood via posterior simulation using the harmonic mean identity
AE Raftery, MA Newton, JM Satagopan, PN Krivitsky
bepress, 2006
3402006
A separable model for dynamic networks
PN Krivitsky, MS Handcock
Journal of the Royal Statistical Society. Series B, Statistical Methodology …, 2014
3282014
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
2572009
Exponential-family random graph models for valued networks
PN Krivitsky
Electronic Journal of Statistics 6, 1100-1128, 2012
2202012
ergm: Fit, simulate and diagnose exponential-family models for networks
MS Handcock, DR Hunter, CT Butts, SM Goodreau, PN Krivitsky, M Morris
The Statnet Project (http://www. statnet. org). R package version 3 (0), 2017
145*2017
Fitting position latent cluster models for social networks with latentnet
PN Krivitsky, MS Handcock
Journal of Statistical Software 24 (5), 1-23, 2008
1342008
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
126*2016
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
982011
Computational statistical methods for social network models
DR Hunter, PN Krivitsky, M Schweinberger
Journal of Computational and Graphical Statistics 21 (4), 856-882, 2012
862012
tergm: Fit, simulate and diagnose models for network evolution based on exponential-family random graph models
PN Krivitsky, M Handcock
The Statnet Project (http://www. statnet. org). R package version 3 (0), 2016
74*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
612015
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
452017
latentnet: Latent position and cluster models for statistical networks
PN Krivitsky, MS Handcock
Seattle, WA. Version 2, 2007
42*2007
Differentially private exponential random graphs
V Karwa, AB Slavković, P Krivitsky
International Conference on Privacy in Statistical Databases, 143-155, 2014
352014
Exponential-Family Models of Random Graphs: Inference in Finite, Super and Infinite Population Scenarios
M Schweinberger, PN Krivitsky, CT Butts, JR Stewart
Statistical Science 35 (4), 627-662, 2020
28*2020
networkDynamic: Dynamic extensions for network objects
CT Butts, A Leslie-Cook, PN Krivitsky, S Bender-deMoll
R package version 0.9. 0, URL https://CRAN. R-project. org/package …, 2016
252016
Sharing social network data: differentially private estimation of exponential-family random graph models
V Karwa, PN Krivitsky, AB Slavković
arXiv preprint arXiv:1511.02930, 2015
232015
Exponential-family random graph models for rank-order relational data
PN Krivitsky, CT Butts
Sociological Methodology 47 (1), 68-112, 2017
212017
Using contrastive divergence to seed Monte Carlo MLE for exponential-family random graph models
PN Krivitsky
Computational Statistics & Data Analysis 107, 149-161, 2017
212017
ergm.count: Fit, simulate and diagnose exponential-family models for networks with count edges
P Krivitsky
The Statnet Project (http://www. statnet. org). R package version 3 (1), 2013
212013
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Articles 1–20