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stat.ME2026
Amortized Inference for Correlated Discrete Choice Models via Equivariant Neural Networks
Easton Huch, Michael Keane
Discrete choice models are fundamental tools in management science, economics, and marketing for understanding and predicting decision-making. Logit-based models are dominant in ap…
stat.ME2025
Robust Bayesian Inference of Causal Effects via Randomization Distributions
Easton Huch, Fred Feinberg, Walter Dempsey
We present a general framework for Bayesian inference of causal effects that delivers provably robust inferences founded on design-based randomization of treatments. The framework…
stat.ME2024
Data integration methods for micro-randomized trials
Easton Huch, Inbal Nahum-Shani, Lindsey Potter +3
Existing statistical methods for the analysis of micro-randomized trials (MRTs) are designed to estimate causal excursion effects using data from a single MRT. In practice, however…