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
johan koskinenSenior Lecturer in Social Network Analysis, University of MelbourneVerified email at unimelb.edu.au
Jonathan R. StewartAssistant Professor, Department of Statistics, Florida State UniversityVerified email at fsu.edu
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
Samuel BaughLawrence Berkeley National LabVerified email at lbl.gov
Martina MorrisUniversity of WashingtonVerified email at uw.edu
Michał BojanowskiKozminski UniversityVerified email at kozminski.edu.pl
Rashmi BomiriyaPennsylvania State UniversityVerified email at rsmetrics.com
Katherine B. EnsorNoah G. Harding Professor of Statistics, Rice UniversityVerified email at rice.edu
Lizhen LinDepartment of Mathematics, The University of MarylandVerified email at umd.edu
Xiaochen LongPhD in Statistics, Rice UniversityVerified email at rice.edu

Michael Schweinberger

Associate Professor of Statistics, The Pennsylvania State University

Verified email at psu.edu - Homepage

discrete and dependent data statistical network analysis statistical network science statistical theory statistics in the so


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(R)Siena TAB Snijders, CEG Steglich, M Schweinberger, M Huisman University of Oxford/University of Groningen, 2010	1115*	2010
Modeling the coevolution of networks and behavior T Snijders, C Steglich, M Schweinberger New York: Routledge, 2007	690*	2007
Maximum likelihood estimation for social network dynamics TAB Snijders, J Koskinen, M Schweinberger The Annals of Applied Statistics 4 (2), 567-588, 2010	235	2010
Instability, sensitivity, and degeneracy of discrete exponential families M Schweinberger Journal of the American Statistical Association 106 (496), 1361-1370, 2011	178	2011
Statistical modelling of network panel data: Goodness of fit M Schweinberger British Journal of Mathematical and Statistical Psychology 65 (2), 263-281, 2012	138*	2012
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	131	2015
Computational statistical methods for social network models DR Hunter, PN Krivitsky, M Schweinberger Journal of Computational and Graphical Statistics 21 (4), 856-882, 2012	124	2012
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	116	2011
Settings in social networks: A measurement model M Schweinberger, TAB Snijders Sociological Methodology 33 (1), 307-341, 2003	114	2003
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	88*	2020
Model-based clustering of large networks DQ Vu, DR Hunter, M Schweinberger The Annals of Applied Statistics 7 (2), 1010, 2013	72	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	55	2007
HERGM: Hierarchical Exponential-Family Random Graph Models M Schweinberger, P Luna Journal of Statistical Software, 85, 1–39, 2018	51*	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	38	2014
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	36*	2020
Statistical methods for studying the evolution of networks and behavior M Schweinberger University Library Groningen, 2007	35	2007
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	32	2021
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	30	2019
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	17	2017
Consistent structure estimation of exponential-family random graph models with block structure M Schweinberger Bernoulli 26, 1205-1233, 2020	15*	2020

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