355 citations · 485 across the 15 of their papers we have counts for
12 papers · 1 filter
Inference for Network Regression Models with Community Structure
Mengjie Pan, Tyler H. McCormick, Bailey K. Fosdick
Network regression models, where the outcome comprises the valued edge in a network and the predictors are actor or dyad-level covariates, are used extensively in the social and bi…
Non-Uniform Sampling of Fixed Margin Binary Matrices
Alex Fout, Bailey K. Fosdick, Matthew P. Hitt
Data sets in the form of binary matrices are ubiquitous across scientific domains, and researchers are often interested in identifying and quantifying noteworthy structure. One app…
Regression of binary network data with exchangeable latent errors
Frank W. Marrs, Bailey K. Fosdick
Undirected, binary network data consist of indicators of symmetric relations between pairs of actors. Regression models of such data allow for the estimation of effects of exogenou…
Inferring Influence Networks from Longitudinal Bipartite Relational Data
Frank W. Marrs, Benjamin W. Campbell, Bailey K. Fosdick +2
Longitudinal bipartite relational data characterize the evolution of relations between pairs of actors, where actors are of two distinct types and relations exist only between disp…
Regression of exchangeable relational arrays
Frank W. Marrs, Bailey K. Fosdick, Tyler H. McCormick
Relational arrays represent measures of association between pairs of actors, often in varied contexts or over time. Trade flows between countries, financial transactions between in…
Inferring social structure from continuous-time interaction data
Wesley Lee, Bailey K. Fosdick, Tyler H. McCormick
Relational event data, which consist of events involving pairs of actors over time, are now commonly available at the finest of temporal resolutions. Existing continuous-time metho…