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Boundary Harnack principle and gradient estimates for fractional Laplacian perturbed by non-local operators.
An empirical Bayes approach to the estimation of possibly sparse sequences observed in Gaussian white noise is set out and investigated. The prior considered is a mixture of an atom of probability a...
In the absence of relevant prior experience, popular Bayesian estimation techniques usually begin with some form of \uninformative" prior distribution intended to have minimal inferential in uence....
Classical prediction methods such as Fisher's linear discriminant function were designed for small-scale problems, where the number of predictors N is much smaller than the number of observations n....
Abstract: Let $x_{i,j}$, $1 \le i \le m$, $1 \le j \le n_i$, be observations from a doubly-indexed sequence $\{X_{i,j}\}$ of independent random variables (all of them discrete, or all of them absolute...
The proposed approach extends the confidence posterior distribution to the semi-parametric empirical Bayes setting. Whereas the Bayesian posterior is defined in terms of a prior distribution condition...
This paper gives the -central BMO estimates for commutators of -dimensional Hardy operators on central Morrey spaces.

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