Michael Schweinberger
Michael Schweinberger
Department of Statistics, Rice University
Bestätigte E-Mail-Adresse bei rice.edu
Zitiert von
Zitiert von
TAB Snijders, CEG Steglich, M Schweinberger, M Huisman
University of Oxford/University of Groningen, 2010
Modeling the coevolution of networks and behavior
T Snijders, C Steglich, M Schweinberger
New York: Routledge, 2007
Maximum likelihood estimation for social network dynamics
TAB Snijders, J Koskinen, M Schweinberger
The Annals of Applied Statistics 4 (2), 567-588, 2010
Instability, sensitivity, and degeneracy of discrete exponential families
M Schweinberger
Journal of the American Statistical Association 106 (496), 1361-1370, 2011
Statistical modelling of network panel data: Goodness of fit
M Schweinberger
British Journal of Mathematical and Statistical Psychology 65 (2), 263-281, 2012
Settings in social networks: A measurement model
M Schweinberger, TAB Snijders
Sociological Methodology 33 (1), 307-341, 2003
Local dependence in random graph models: Characterization, properties, and statistical inference
M Schweinberger, MS Handcock
Journal of the Royal Statistical Society, Series B 77, 647-676, 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
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
Model-based clustering of large networks
DQ Vu, DR Hunter, M Schweinberger
The Annals of Applied Statistics 7 (2), 1010, 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
HERGM: Hierarchical Exponential-Family Random Graph Models
M Schweinberger, P Luna
Journal of Statistical Software, 85, 1–39, 2018
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
Statistical methods for studying the evolution of networks and behavior
M Schweinberger
University Library Groningen][Host], 2007
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
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
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
Manual for SIENA version 2. Groningen: ICS, University of Groningen
TAB Snijders, CEG Steglich, M Schweinberger, M Huisman
Manual for SIENA version 3.2. Provisional version
TAB Snijders, C Steglich, M Schweinberger, M Huisman
Oxford: University of Oxford, Department of Statistics, 2010
Consistent structure estimation of exponential-family random graph models with block structure
M Schweinberger
Bernoulli 26, 1205-1233, 2020
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