3 papers
stat.ME2026
Calibrated Bayesian Inference for Stochastic Intervention Effects
Tyler M. Schmidt, Nathan B. Wikle
Causal inference increasingly extends beyond classical causal effects defined by deterministic treatment assignments, such as the average treatment effect, to stochastic interventi…
stat.AP2023
Causal health impacts of power plant emission controls under modeled and uncertain physical process interference
Nathan B. Wikle, Corwin M. Zigler
Causal inference with spatial environmental data is often challenging due to the presence of interference: outcomes for observational units depend on some combination of local and…
stat.ME2020
A Mechanistic Model of Annual Sulfate Concentrations in the United States
Nathan B. Wikle, Ephraim M. Hanks, Lucas R. F. Henneman +1
We develop a mechanistic model to analyze the impact of sulfur dioxide emissions from coal-fired power plants on average sulfate concentrations in the central United States. A mult…