Assessing and accounting for time heterogeneity in stochastic actor oriented models

DOI10.1007/s11634-010-0076-1zbMath1284.62514OpenAlexW2166204647WikidataQ35336460 ScholiaQ35336460MaRDI QIDQ2442804

Tom A. B. Snijders, Joshua A. Lospinoso, Michael Schweinberger, Ruth M. Ripley

Publication date: 1 April 2014

Published in: Advances in Data Analysis and Classification. ADAC (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3192541

zbMATH Keywords

time heterogeneityscore-type testlongitudinal analysis of network datastochastic actor oriented models

Mathematics Subject Classification ID

Markov processes: hypothesis testing (62M02)

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Uses Software

• RSiena

Cites Work

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• Generalised score and Wald tests
• Maximum likelihood estimation for social network dynamics
• Markov models for digraph panel data: Monte Carlo-based derivative estimation
• Specification error in multinomial logit models. Analysis of the omitted variable bias
• Friendship networks through time: An actor-oriented dynamic statistical network model
• Sufficient Conditions for the Consistency of Maximum Likelihood Estimation Despite Misspecification of Distribution in Multinomial Discrete Choice Models
• On a General Class of Models for Interaction
• Markov Chains
• Testing Statistical Hypotheses
• Principles of Statistical Inference
• Introduction