106 citations · 161 across the 4 of their papers we have counts for
5 papers
Limiting the Shrinkage for the Exceptional by Objective Robust Bayesian Analysis: the `Clemente Problem'
Luis R. Pericchi, Maria-Eglee Perez
In `borrowing strength' an important problem of Statistics is to treat exceptional cases in a fundamentally different. This is what has been coined as `the Clemente problem' in hon…
A Bridge between Cross-validation Bayes Factors and Geometric Intrinsic Bayes Factors
Yekun Wang, Luis Pericchi
Model Selections in Bayesian Statistics are primarily made with statistics known as Bayes Factors, which are directly related to Posterior Probabilities of models. Bayes Factors re…
Changing the paradigm of fixed significance levels: Testing Hypothesis by Minimizing Sum of Errors Type I and Type II
Luis Pericchi, Carlos Pereira
Our purpose, is to put forward a change in the paradigm of testing by generalizing a very natural idea exposed by Morris DeGroot (1975) aiming to an approach that is attractive to…
Quick Anomaly Detection by the Newcomb--Benford Law, with Applications to Electoral Processes Data from the USA, Puerto Rico and Venezuela
Luis Pericchi, David Torres
A simple and quick general test to screen for numerical anomalies is presented. It can be applied, for example, to electoral processes, both electronic and manual. It uses vote cou…
Training samples in objective Bayesian model selection
James O. Berger, Luis R. Pericchi
Central to several objective approaches to Bayesian model selection is the use of training samples (subsets of the data), so as to allow utilization of improper objective priors. T…