We propose a joint treatment Bayesian Causal Forest (jtBCF) that estimates direct and indirect effects of joint treatment and apply it to a setting of interference.

A Bayesian double generalized beta regression framework that borrows spatial and temporal information to model bounded well-being indices at the ZCTA level.

Modeling individual-level well-being survey data to generate ZIP code tabulation area (ZCTA)-level rankings through spatially informed statistical modeling using a graph Laplacian matrix.