activity
20142017
most citedInferential Approaches for Network Analyses: AMEN for Latent Factor Models

8 citations · 18 across the 4 of their papers we have counts for

collaborators

5 papers

stat.ME2017★ 2 cited

Modeling Asymmetric Relationships from Symmetric Networks

Arturas Rozenas, Shahryar Minhas, John Ahlquist

Many relationships requiring mutual agreement between pairs of actors produce observable networks that are symmetric and undirected. Nevertheless the unobserved, asymmetric network…

stat.AP2017★ 6 cited

Decomposing Network Influence: Social Influence Regression

Shahryar Minhas, Peter D. Hoff

Understanding network influence and its determinants are key challenges in political science and network analysis. Traditional latent variable models position actors within a socia…

stat.AP2016★ 8 cited

Inferential Approaches for Network Analyses: AMEN for Latent Factor Models

Shahryar Minhas, Peter D. Hoff, Michael D. Ward

We introduce a Bayesian approach to conduct inferential analyses on dyadic data while accounting for interdependencies between observations through a set of additive and multiplica…

stat.AP2015★ 2 cited

Relax, Tensors Are Here: Dependencies in International Processes

Shahryar Minhas, Peter D. Hoff, Michael D. Ward

Previous models of international conflict have suffered two shortfalls. They tended not to embody dynamic changes, focusing rather on static slices of behavior over time. These mod…

stat.AP2014

Multiple Imputation Using Gaussian Copulas

Florian M. Hollenbach, Iavor Bojinov, Shahryar Minhas +3

Missing observations are pervasive throughout empirical research, especially in the social sciences. Despite multiple approaches to dealing adequately with missing data, many schol…