A new BRAIDS utility interpolates between risk-seeking and risk-averse subgroup detection, and regularized Bayesian models can keep nominal coverage for subgroup effects without sample splitting.
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Decision Theoretic Subgroup Detection With Bayesian Machine Learning
A new BRAIDS utility interpolates between risk-seeking and risk-averse subgroup detection, and regularized Bayesian models can keep nominal coverage for subgroup effects without sample splitting.