4 papers
Bayesian Modeling for Aggregated Relational Data: A Unified Perspective
Owen G. Ward, Anna L. Smith, Tian Zheng
Aggregated relational data is widely collected to study social networks, in fields such as sociology, public health and economics. Many of the successes of ARD inference have been…
Estimating Complex Densities using Two-Stage Normalizing Flows
Roxana Darvishi, David C. Stenning, Ted von Hippel +1
In many scientific applications, the target probability distribution cannot be evaluated in closed form or sampled from directly. Instead, it can often be decomposed into multiple…
Evaluating Aggregated Relational Data Models with Simple Diagnostics
Ian Laga, Benjamin Vogel, Jieyun Wang +2
Aggregated Relational Data (ARD) contain summary information about individual social networks and are widely used to estimate social network characteristics and the size of populat…
Investigating Experiential Effects in Online Chess using a Hierarchical Bayesian Analysis
Adam Gee, Sydney O. Seese, James P. Curley +1
The presence or absence of winner-loser effects is a widely discussed phenomenon across both sports and psychology research. Investigation of such effects is often hampered by the…