2 citations · 2 across the 6 of their papers we have counts for
6 papers
Bounds on Intrinsic Bayes Factors and Least Favorable Intrinsic Priors for General Statistical Hypothesis Testing
Fernando Betancourt, Richard Clare, Luis Pericchi
Hypothesis Testing is the most contentious procedure in statistical Methodology. P values rejects Null Hypotheses far too easily, specially for large samples. On the other hand, Ba…
Objective Model Prior Probabilities in Variable Selection
James Berger, Gonzalo García-Donato, Elías Moreno +1
For many years it was routine to use equal model prior probabilities in Bayesian model uncertainty analysis. At least twenty years ago it became clear that this was problematic, le…
A Modified Bayesian Criterion for Model Selection in Mixed and Hierarchical Frameworks
Diogenes de Jesus Ramirez, Anderson Melchor Hernandez, Isabel Cristina Ramirez +1
In this work, we propose a modified Bayesian Information Criterion (BIC) specifically designed for mixture models and hierarchical structures. This criterion incorporates the deter…
Comparison Between Bayesian and Frequentist Tail Probability Estimates
Nan Shen, Bárbara González, Luis Raúl Pericchi
In this paper, we investigate the reasons that the Bayesian estimator of the tail probability is always higher than the frequentist estimator. Sufficient conditions for this phenom…
Converting P-Values in Adaptive Robust Lower Bounds of Posterior Probabilities to increase the reproducible Scientific "Findings"
Luis R. Pericchi, Maria-Eglee Perez
We put forward a novel calibration of p values, the "Adaptive Robust Lower Bound" (ARLB) which maps p values into approximations of posterior probabilities taking into account the…
Modelling outliers and structural breaks in dynamic linear models with a novel use of a heavy tailed prior for the variances: An alternative to the Inverted Gamma
Jairo Fuquene, Maria Perez, Luis Pericchi
Modelling outliers and structural breaks in dynamic linear models with a novel use of a heavy tailed prior for the variances: An alternative to the Inverted Gamma