5 papers · 1 filter
Multiple exposure distributed lag models with variable selection
Joseph Antonelli, Ander Wilson, Brent Coull
Distributed lag models are useful in environmental epidemiology as they allow the user to investigate critical windows of exposure, defined as the time period during which exposure…
Estimation and false discovery control for the analysis of environmental mixtures
Srijata Samanta, Joseph Antonelli
The analysis of environmental mixtures is of growing importance in environmental epidemiology, and one of the key goals in such analyses is to identify exposures and their interact…
Averaging causal estimators in high dimensions
Joseph Antonelli, Matthew Cefalu
There has been increasing interest in recent years in the development of approaches to estimate causal effects when the number of potential confounders is prohibitively large. This…
Spike-and-Slab Group Lassos for Grouped Regression and Sparse Generalized Additive Models
Ray Bai, Gemma E. Moran, Joseph Antonelli +2
We introduce the spike-and-slab group lasso (SSGL) for Bayesian estimation and variable selection in linear regression with grouped variables. We further extend the SSGL to sparse…
Causal Inference in high dimensions: A marriage between Bayesian modeling and good frequentist properties
Joseph Antonelli, Georgia Papadogeorgou, Francesca Dominici
We introduce a framework for estimating causal effects of binary and continuous treatments in high dimensions. We show how posterior distributions of treatment and outcome models c…