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stat.ME2025
Bayesian Inference for Confounding Variables and Limited Information
Ellis Scharfenaker, Duncan K. Foley
A central challenge in statistical inference is the presence of confounding variables that may distort observed associations between treatment and outcome. Conventional "causal" me…
stat.ME2024★ 2 cited
Bayesian Inference and the Principle of Maximum Entropy
Duncan K. Foley, Ellis Scharfenaker
Bayes' theorem incorporates distinct types of information through the likelihood and prior. Direct observations of state variables enter the likelihood and modify posterior probabi…