18 citations · 34 across the 7 of their papers we have counts for
9 papers
From Partial Exchangeability to Predictive Probability: A Bayesian Perspective on Classification
Marcio Alves Diniz
We propose a novel Bayesian nonparametric classification model that combines a Gaussian process prior for the latent function with a Dirichlet process prior for the link function,…
Improved inference for MCP-Mod approach for time-to-event endpoints with small sample sizes
Márcio A. Diniz, Diego I. Gallardo, Tiago M. Magalhães
The Multiple Comparison Procedures with Modeling Techniques (MCP-Mod) framework has been recently approved by the U.S. Food and Administration and European Medicines Agency as fit-…
The e-value and the Full Bayesian Significance Test: Logical Properties and Philosophical Consequences
Julio Michael Stern, Carlos Alberto de Braganca Pereira, Marcelo de Souza Lauretto +5
This article gives a conceptual review of the e-value, ev(H|X) -- the epistemic value of hypothesis H given observations X. This statistical significance measure was developed in o…
Mr. Bayes and the classics: a suggested interpretation
Marcio Alves Diniz, David Richard Bellhouse
The main hypothesis about Thomas Bayes's intentions to write his famous Essay on probability is that he wanted to refute the arguments of David Hume against the reliability of the…
Wisdom of the crowds forecasting the 2018 FIFA Men's World Cup
Marco Henrique de Almeida Inácio, Rafael Izbicki, Danilo Lourenço Lopes +3
The FIFA Men's World Cup Tournament (WCT) is the most important football (soccer) competition, attracting worldwide attention. A popular practice among football fans in Brazil is t…
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…
Comparing probabilistic predictive models applied to football
Marcio A. Diniz, Rafael Izbicki, Danilo Lopes +1
We propose two Bayesian multinomial-Dirichlet models to predict the final outcome of football (soccer) matches and compare them to three well-known models regarding their predictiv…
The Likelihood Ratio Test and Full Bayesian Significance Test under small sample sizes for contingency tables
Natalia L. Oliveira, Carlos A. de B. Pereira, Marcio A. Diniz +1
Hypothesis testing in contingency tables is usually based on asymptotic results, thereby restricting its proper use to large samples. To study these tests in small samples, we cons…
Positive Polynomials on closed boxes
Marcio Alves Diniz, Luis Ernesto Salasar, Rafael Bassi Stern
We present two different proofs that positive polynomials on closed boxes of can be written as bivariate Bernstein polynomials with strictly positive coefficients. B…