IPW is justified in post-Bayesian inference by reweighting the KL divergence to produce generalized belief posteriors that correct for selection bias.
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stat.ME 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
A general Bayesian framework encodes explicit confidence in uncertainty sources to enable new regularization control and sparsity induction in statistical models.
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Inverse Probability Weighting in a Post-Bayesian World
IPW is justified in post-Bayesian inference by reweighting the KL divergence to produce generalized belief posteriors that correct for selection bias.
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Bayesian inference with sources of uncertainty: from confidence modelling to sparse estimation
A general Bayesian framework encodes explicit confidence in uncertainty sources to enable new regularization control and sparsity induction in statistical models.