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math.ST2018
Posterior Convergence of Gaussian and General Stochastic Process Regression Under Possible Misspecifications
Debashis Chatterjee, Sourabh Bhattacharya
In this article, we investigate posterior convergence in nonparametric regression models where the unknown regression function is modeled by some appropriate stochastic process. In…
math.ST2018
Bayes Factor Asymptotics for Variable Selection in the Gaussian Process Framework
Minerva Mukhopadhyay, Sourabh Bhattacharya
Although variable selection is one of the most popular areas of modern statistical research, much of its development has taken place in the classical paradigm compared to the Bayes…