7 citations · 32 across the 10 of their papers we have counts for
5 papers · 1 filter
The e-value: A Fully Bayesian Significance Measure for Precise Statistical Hypotheses and its Research Program
Julio Michael Stern, Carlos Alberto de Braganca Pereira
This article gives a survey of the e-value, a statistical significance measure a.k.a. the evidence rendered by observational data, X, in support of a statistical hypothesis, H, or,…
Model choice in separate families: A comparison between the FBST and the Cox test
Cachimo Combo Assane, Basilio de Bragança Pereira, Carlos Alberto de Bragança Pereira
Tests of separate families of hypotheses were initially considered by Cox (1961,1962) In this work, the Fully Bayesian Significance Test, FBST, is evaluated for discriminating betw…
Bayesian significance test for discriminating between survival distributions
Cachimo Assane, Basilio Pereira, Carlos Pereira
An evaluation of FBST, Fully Bayesian Significance Test, restricted to survival models is the main objective of the present paper. A Survival distribution should be chosen among th…
Predictive analysis of microarray data
Paulo C. Marques F., Carlos A. de B. Pereira
Microarray gene expression data are analyzed by means of a Bayesian nonparametric model, with emphasis on prediction of future observables, yielding a method for selection of diffe…
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…