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math.ST2012
Bayesian MISE convergence rates of Polya urn based density estimators: asymptotic comparisons and choice of prior parameters
Sabyasachi Mukhopadhyay, Sourabh Bhattacharya
Mixture models are well-known for their versatility, and the Bayesian paradigm is a suitable platform for mixture analysis, particularly when the number of components is unknown. B…
stat.ME2012
A Fully Bayesian Approach to Assessment of Model Adequacy in Inverse Problems
Sourabh Bhattacharya
We consider the problem of assessing goodness of fit of a single Bayesian model to the observed data in the inverse problem context. A novel procedure of goodness of fit test is pr…