activity
20172020
most citedCointegration and unit root tests: A fully Bayesian approach

7 citations · 10 across the 4 of their papers we have counts for

collaborators

6 papers

math.ST20207 cited

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…

stat.ME2020

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,…

stat.AP20193 cited

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…

stat.AP2018

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…

stat.ME2017

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…

stat.ME2017

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…