5 citations · 9 across the 15 of their papers we have counts for
17 papers
Predictive Power Analysis of Multiple Test Procedures Under Arbitrary Dependence
George Karabatsos
Many statistical problems can be addressed by applying a multiple testing procedure (MTP) that controls either the Family-wise Error Rate (FWER) or False Discovery Rate (FDR) under…
Bayesian Nonparametric Sensitivity Analysis of Multiple Test Procedures Under Dependence
George Karabatsos
This article introduces a sensitivity analysis method for Multiple Testing Procedures (MTPs) using marginal -values. The method is based on the Dirichlet process (DP) prior dist…
Copula Approximate Bayesian Computation Using Distribution Random Forests
George Karabatsos
This invited feature article introduces and provides an extensive simulation study of a new Approximate Bayesian Computation (ABC) framework for estimating the posterior distributi…
Dirichlet Process Mixture Models with Shrinkage Prior
Dawei Ding, George Karabatsos
We propose Dirichlet Process Mixture (DPM) models for prediction and cluster-wise variable selection, based on two choices of shrinkage baseline prior distributions for the linear…
Bayes Calculations from Quantile Implied Likelihood
George Karabatsos, Fabrizio Leisen
In statistical practice, a realistic Bayesian model for a given data set can be defined by a likelihood function that is analytically or computationally intractable, due to large d…
An Approximate Likelihood Perspective on ABC Methods
George Karabatsos, Fabrizio Leisen
We are living in the big data era, as current technologies and networks allow for the easy and routine collection of data sets in different disciplines. Bayesian Statistics offers…