Pavel N. Krivitsky
Pavel N. Krivitsky
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
3102006
A separable model for dynamic networks
PN Krivitsky, MS Handcock
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2014
2732014
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
2122009
Exponential-family random graph models for valued networks
PN Krivitsky
Electronic Journal of Statistics 6, 1100-1128, 2012
1872012
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 (2), 2014
127*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). R package version, 2016
116*2016
Fitting position latent cluster models for social networks with latentnet
PN Krivitsky, MS Handcock
Journal of Statistical Software 24 (5), 1-23, 2008
1152008
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
842011
Computational statistical methods for social network models
DR Hunter, PN Krivitsky, M Schweinberger
Journal of Computational and Graphical Statistics 21 (4), 856-882, 2012
732012
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
56*2015
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
55*2016
latentnet: Latent position and cluster models for statistical networks
PN Krivitsky, MS Handcock
Seattle, WA. Version 2, 2007
39*2007
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
322017
Differentially private exponential random graphs
V Karwa, AB Slavković, P Krivitsky
International Conference on Privacy in Statistical Databases, 143-155, 2014
292014
Exponential-family random graph models for rank-order relational data
PN Krivitsky, CT Butts
Sociological Methodology 47 (1), 68-112, 2017
202017
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 …, 2017
172017
Modeling of dynamic networks based on egocentric data with durational information
PN Krivitsky
Dept. Statist., Pennsylvania State Univ., State College, PA, USA, Tech. Rep …, 2012
17*2012
Exponential-Family Models of Random Graphs: Inference in Finite-, Super-, and Infinite Population Scenarios
M Schweinberger, PN Krivitsky, CT Butts, J Stewart
arXiv preprint arXiv:1707.04800, 2017
15*2017
Using contrastive divergence to seed Monte Carlo MLE for exponential-family random graph models
PN Krivitsky
Computational Statistics & Data Analysis 107, 149-161, 2017
152017
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
152016
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