2 papers
stat.ME2024
On Data Analysis Pipelines and Modular Bayesian Modeling
Erin Lipman, Abel Rodriguez
The most common approach to implementing data analysis pipelines involves obtaining point estimates from the upstream modules and then treating these as known quantities when worki…
stat.AP2023
Explaining Differences in Voting Patterns Across Voting Domains Using Hierarchical Bayesian Models
Erin Lipman, Scott Moser, Abel Rodriguez
Spatial voting models of legislators' preferences are used in political science to test theories about their voting behavior. These models posit that legislators' ideologies as wel…