A Bayesian change-plane regression method uses a misspecified probit-gated surrogate likelihood to enable regular posterior inference for linear-threshold subpopulation boundaries, recovering the hard-threshold target in the vanishing-smoothing limit under a covariate boundary-margin condition.
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Bayesian change-plane regression
A Bayesian change-plane regression method uses a misspecified probit-gated surrogate likelihood to enable regular posterior inference for linear-threshold subpopulation boundaries, recovering the hard-threshold target in the vanishing-smoothing limit under a covariate boundary-margin condition.