activity
20212023
most citedA Statistical Model of Bipartite Networks: Application to Cosponsorship in the United States Senate

2 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

stat.AP2023★ 2 cited

A Statistical Model of Bipartite Networks: Application to Cosponsorship in the United States Senate

Adeline Lo, Santiago Olivella, Kosuke Imai

Many networks in political and social research are bipartite, with edges connecting exclusively across two distinct types of nodes. A common example includes cosponsorship networks…

stat.OT2022★ 1 cited

Race and ethnicity data for first, middle, and last names

Evan T. R. Rosenman, Santiago Olivella, Kosuke Imai

We provide the largest compiled publicly available dictionaries of first, middle, and last names for the purpose of imputing race and ethnicity using, for example, Bayesian Improve…

stat.AP2022★ 1 cited

A Non-parametric Bayesian Model for Detecting Differential Item Functioning: An Application to Political Representation in the US

Yuki Shiraito, James Lo, Santiago Olivella

A common approach when studying the quality of representation involves comparing the latent preferences of voters and legislators, commonly obtained by fitting an item-response the…

stat.ME2021

Recalibration of Predictive Models as Approximate Probabilistic Updates

Evan T. R. Rosenman, Santiago Olivella

The output of predictive models is routinely recalibrated by reconciling low-level predictions with known derived quantities defined at higher levels of aggregation. For example, m…

stat.AP2021

Dynamic Stochastic Blockmodel Regression for Network Data: Application to International Militarized Conflicts

Santiago Olivella, Tyler Pratt, Kosuke Imai

A primary goal of social science research is to understand how latent group memberships predict the dynamic process of network evolution. In the modeling of international militariz…