7 citations · 32 across the 10 of their papers we have counts for
10 papers
Cointegration and unit root tests: A fully Bayesian approach
Marcio Alves Diniz, Carlos Alberto de Braganca Pereira, Julio Michael Stern
To perform statistical inference for time series, one should be able to assess if they present deterministic or stochastic trends. For univariate analysis one way to detect stochas…
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,…
Assessing Dynamic Effects on a Bayesian Matrix-Variate Dynamic Linear Model: an Application to fMRI Data Analysis
Johnatan Cardona Jiménez, Carlos A. de B. Pereira, Victor Fossaluza
In this work, we propose a modeling procedure for fMRI data analysis using a Bayesian Matrix-Variate Dynamic Linear Model (MVDLM). With this type of model, less complex than the mo…
Odds for the Brazilian 2018 president elections: An application of Bayesian statistics in contingency tables
Carlos Alberto de Braganca Pereira, Teresa Cristina Martins Dias, Adriano Polpo
The purpose of these notes is to present an assessment of the probability of a candidate be elected in a two-round presidential election. In the first round, all candidates can be…
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…
Bayesian test of significance for conditional independence: The multinomial model
Pablo de Morais Andrade, Julio Michael Stern, Carlos Alberto de Bragança Pereira
Conditional independence tests (CI tests) have received special attention lately in Machine Learning and Computational Intelligence related literature as an important indicator of…
Bayesian Analysis of Simple Random Densities
Paulo C. Marques F., Carlos A. de B. Pereira
A tractable nonparametric prior over densities is introduced which is closed under sampling and exhibits proper posterior asymptotics.