Michael Schweinberger

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Tom SnijdersUniversity of Groningen; University of Oxford; COSTNET CA15109Verified email at nuffield.ox.ac.uk
Christian SteglichUniversities Linköping & GroningenVerified email at rug.nl
Jonathan R. StewartAssistant Professor, Department of Statistics, Florida State UniversityVerified email at fsu.edu
johan koskinenSenior Lecturer in Social Network Analysis, University of MelbourneVerified email at unimelb.edu.au
Pavel N. KrivitskySenior Lecturer in Statistics, School of Mathematics and Statistics, University of New South WalesVerified email at unsw.edu.au
Mark S. HandcockDistinguished Professor of Statistics, UCLAVerified email at ucla.edu
David HunterProfessor of Statistics, Penn State UniversityVerified email at psu.edu
Sergii BabkinData & Applied Scientist, MicrosoftVerified email at microsoft.com
Carter T. ButtsChancellor's Professor, Departments of Sociology, Statistics, Computer Science, and EECS, UC IrvineVerified email at uci.edu
Minjeong JeonProfessor of Advanced Quantitative Methods, University of California, Los AngelesVerified email at ucla.edu
Ick Hoon JinAssociate Professor, Department of Applied Statistics, Yonsei UniversityVerified email at yonsei.ac.kr
Pamela N LunaAssistant Professor, Baylor College of MedicineVerified email at bcm.edu
Miruna Petrescu-PrahovaUniversity of WashingtonVerified email at uw.edu
Cornelius FritzTrinity College Dublin, School for Computer Science and StatisticsVerified email at tcd.ie
Martina MorrisUniversity of WashingtonVerified email at uw.edu
Michał BojanowskiKozminski UniversityVerified email at kozminski.edu.pl
Rashmi BomiriyaPennsylvania State UniversityVerified email at rsmetrics.com
Samuel BaughPennsylvania State UniversityVerified email at psu.edu
Lizhen LinDepartment of Mathematics, The University of MarylandVerified email at umd.edu
Katherine B. EnsorNoah G. Harding Professor of Statistics, Rice UniversityVerified email at rice.edu

Michael Schweinberger

Professor of Statistics, The Pennsylvania State University

Verified email at psu.edu - Homepage

statistical network analysis statistical theory scalable computing social statistics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
(R)Siena TAB Snijders, CEG Steglich, M Schweinberger, M Huisman University of Oxford/University of Groningen, 2010	1190*	2010
Modeling the coevolution of networks and behavior T Snijders, C Steglich, M Schweinberger New York: Routledge, 2007	722*	2007
Maximum likelihood estimation for social network dynamics TAB Snijders, J Koskinen, M Schweinberger The Annals of Applied Statistics 4 (2), 567-588, 2010	245	2010
Instability, sensitivity, and degeneracy of discrete exponential families M Schweinberger Journal of the American Statistical Association 106 (496), 1361-1370, 2011	191	2011
Local dependence in random graph models: Characterization, properties, and statistical inference M Schweinberger, MS Handcock Journal of the Royal Statistical Society, Series B (Statistical Methodology …, 2015	147	2015
Statistical modelling of network panel data: Goodness of fit M Schweinberger British Journal of Mathematical and Statistical Psychology 65 (2), 263-281, 2012	143*	2012
Computational statistical methods for social network models DR Hunter, PN Krivitsky, M Schweinberger Journal of Computational and Graphical Statistics 21 (4), 856-882, 2012	142	2012
Settings in social networks: A measurement model M Schweinberger, TAB Snijders Sociological Methodology 33 (1), 307-341, 2003	125	2003
Assessing and accounting for time heterogeneity in stochastic actor oriented models JA Lospinoso, M Schweinberger, TAB Snijders, RM Ripley Advances in Data Analysis and Classification 5 (2), 147-176, 2011	122	2011
Exponential-family models of random graphs: Inference in finite, super, and infinite population scenarios M Schweinberger, PN Krivitsky, CT Butts, J Stewart Statistical Science 35, 627-662, 2020	114*	2020
Model-based clustering of large networks DQ Vu, DR Hunter, M Schweinberger The Annals of Applied Statistics 7 (2), 1010, 2013	82	2013
Markov models for digraph panel data: Monte Carlo-based derivative estimation M Schweinberger, TAB Snijders Computational Statistics & Data Analysis 51 (9), 4465-4483, 2007	59	2007
Concentration and consistency results for canonical and curved exponential-family models of random graphs M Schweinberger, J Stewart The Annals of Statistics 48, 374-396, 2020	48	2020
Multilevel network data facilitate statistical inference for curved ERGMs with geometrically weighted terms J Stewart, M Schweinberger, M Bojanowski, M Morris Social Networks 59, 98-119, 2019	44	2019
HERGM: Hierarchical Exponential-Family Random Graph Models M Schweinberger, P Luna Journal of Statistical Software, 85, 1–39, 2018	40	2018
Disaster response on September 11, 2001 through the lens of statistical network analysis M Schweinberger, M Petrescu-Prahova, DQ Vu Social Networks 37, 42-55, 2014	40	2014
Mapping unobserved item-respondent interactions: A latent space item response model with interaction map M Jeon, IH Jin, M Schweinberger, S Baugh Psychometrika 86, 378–403, 2021	39	2021
Statistical methods for studying the evolution of networks and behavior M Schweinberger University Library Groningen, 2007	36	2007
Large-scale estimation of random graph models with local dependence S Babkin, J Stewart, X Long, M Schweinberger Computational Statistics & Data Analysis, 2020	22*	2020
High-dimensional multivariate time series with additional structure M Schweinberger, S Babkin, KB Ensor Journal of Computational and Graphical Statistics 26 (3), 610-622, 2017	18	2017

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