Bilinear Mixed-Effects Models for Dyadic Data
- 1 March 2005
- journal article
- Published by Informa UK Limited in Journal of the American Statistical Association
- Vol. 100 (469), 286-295
- https://doi.org/10.1198/016214504000001015
Abstract
This article discusses the use of a symmetric multiplicative interaction effect to capture certain types of third-order dependence patterns often present in social networks and other dyadic datasets. Such an effect, along with standard linear fixed and random effects, is incorporated into a generalized linear model, and a Markov chain Monte Carlo algorithm is provided for Bayesian estimation and inference. In an example analysis of international relations data, accounting for such patterns improves model fit and predictive performance.Keywords
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