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- W3023084329 abstract "We consider Bayesian inference in inverse regression problems where the objective is to infer about unobserved covariates from observed responses and covariates. We establish posterior consistency of such unobserved covariates in Bayesian inverse regression problemsunder appropriate priors in a leave-one-out cross-validation setup. We relate this to posterior consistency of inverse reference distributions (Bhattacharya (2013)) for assessing model adequacy. We illustrate our theory and methods with various examples of Bayesian inverse regression, along with adequate simulation experiments." @default.
- W3023084329 created "2020-05-13" @default.
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- W3023084329 date "2020-05-01" @default.
- W3023084329 modified "2023-09-23" @default.
- W3023084329 title "Posterior Consistency of Bayesian Inverse Regression and Inverse Reference Distributions" @default.
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