Select Publications

Journal articles

Leaver VL; Clark RG; Krivitsky PN; Birrell CL, 2024, 'A comparison of likelihood-based methods for size-biased sampling', Journal of Statistical Planning and Inference, 230,

Krivitsky PN; Coletti P; Hens N, 2023, 'A Tale of Two Datasets: Representativeness and Generalisability of Inference for Samples of Networks', Journal of the American Statistical Association, 118, pp. 2213 - 2224,

Krivitsky PN; Hunter DR; Morris M; Klumb C, 2023, 'ergm 4: New Features for Analyzing Exponential-Family Random Graph Models', Journal of Statistical Software, 105, pp. 1 - 44,

Krivitsky PN; Kuvelkar AR; Hunter DR, 2023, 'Likelihood-based inference for exponential-family random graph models via linear programming', Electronic Journal of Statistics, 17, pp. 3337 - 3356,

Krivitsky PN; Coletti P; Hens N, 2023, 'Rejoinder to Discussion of “A Tale of Two Datasets: Representativeness and Generalisability of Inference for Samples of Networks”', Journal of the American Statistical Association, 118, pp. 2235 - 2238,

Krivitsky PN; Morris M; Bojanowski M, 2022, 'Impact of survey design on estimation of exponential-family random graph models from egocentrically-sampled data', Social Networks, 69, pp. 22 - 34,

Mazur L; Suesse T; Krivitsky PN, 2022, 'Investigating foreign portfolio investment holdings: Gravity model with social network analysis', International Journal of Finance and Economics, 27, pp. 554 - 570,

Chandra R; Jain M; Maharana M; Krivitsky PN, 2022, 'Revisiting Bayesian Autoencoders With MCMC', IEEE Access, 10, pp. 40482 - 40495,

Chandra R; Bhagat A; Maharana M; Krivitsky PN, 2021, 'Bayesian Graph Convolutional Neural Networks via Tempered MCMC', IEEE Access, 9, pp. 130353 - 130365,

Krivitsky PN; Koehly LM; Marcum CS, 2020, 'Exponential-Family Random Graph Models for Multi-Layer Networks', Psychometrika, 85, pp. 630 - 659,

Schweinberger M; Krivitsky PN; Butts CT; Stewart JR, 2020, 'Exponential-Family Models of Random Graphs: Inference in Finite, Super and Infinite Population Scenarios', Statistical Science, 35, pp. 627 - 662,

Krivitsky PN; Butts CT, 2017, 'Exponential-family random graph models for rank-order relational data', Sociological Methodology, 47, pp. 68 - 112,

Karwa V; Krivitsky PN; Slavković AB, 2017, 'Sharing social network data: differentially private estimation of exponential family random-graph models', Journal of the Royal Statistical Society. Series C: Applied Statistics, 66, pp. 481 - 500,

Krivitsky PN; Morris M, 2017, 'Inference for social network models from egocentrically sampled data, with application to understanding persistent racial disparities in HIV prevalence in the US', Annals of Applied Statistics, 11, pp. 427 - 455,

Krivitsky PN, 2017, 'Using contrastive divergence to seed Monte Carlo MLE for exponential-family random graph models', Computational Statistics and Data Analysis, 107, pp. 149 - 161,

Carnegie NB; Krivitsky PN; Hunter DR; Goodreau SM, 2015, 'An Approximation Method for Improving Dynamic Network Model Fitting', Journal of Computational and Graphical Statistics, 24, pp. 502 - 519,

Cressie N; Burden S; Davis W; Krivitsky PN; Mokhtarian P; Suesse T; Zammit-Mangion A, 2015, 'Capturing multivariate spatial dependence: Model, estimate and then predict', Statistical Science, 30, pp. 170 - 175,

Krivitsky PN; Kolaczyk ED, 2015, 'On the question of effective sample size in network modeling: An asymptotic inquiry', Statistical Science, 30, pp. 184 - 198,

Krivitsky PN; Handcock MS, 2014, 'A separable model for dynamic networks', Journal of the Royal Statistical Society. Series B: Statistical Methodology, 76, pp. 29 - 46,

Krivitsky PN, 2012, 'Exponential-family random graph models for valued networks', Electronic Journal of Statistics, 6, pp. 1100 - 1128,

Hunter DR; Krivitsky PN; Schweinberger M, 2012, 'Computational statistical methods for social network models', Journal of Computational and Graphical Statistics, 21, pp. 856 - 882,

Krivitsky PN; Handcock MS; Morris M, 2011, 'Adjusting for network size and composition effects in exponential-family random graph models', Statistical Methodology, 8, pp. 319 - 339,

Krivitsky PN; Handcock MS; Raftery AE; Hoff PD, 2009, 'Representing degree distributions, clustering, and homophily in social networks with latent cluster random effects models', Social Networks, 31, pp. 204 - 213,

Krivitsky PN; Handcock MS, 2008, 'Fitting position latent cluster models for social networks with latentnet', Journal of Statistical Software, 24,

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