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stat.ME2025
Defensive Model Expansion for Robust Bayesian Inference
Antonio R. Linero
Some applied researchers hesitate to use nonparametric methods, worrying that they will lose power in small samples or overfit the data when simpler models are sufficient. We argue…
stat.ME2025
Decision Theoretic Subgroup Detection With Bayesian Machine Learning
Entejar Alam, Poorbita Kundu, Antonio R. Linero
We consider the problem of identifying promising subpopulations in terms of treatment effectiveness or treatment effect heterogeneity, from a Bayesian decision theoretic perspectiv…
stat.ME2025
A Unified Bayesian Nonparametric Framework for Ordinal, Survival, and Density Regression Using the Complementary Log-Log Link
Entejar Alam, Antonio R. Linero
In this work, we develop applications of the complementary log-log (cloglog) link to problems in Bayesian nonparametrics. Although less commonly used than the probit or logit links…