3 citations · 5 across the 6 of their papers we have counts for
6 papers
Covariate balance under Bayesian decision theory
André A. F. Fumis, Victor Fossaluza, Rafael B. Stern
We study optimal sample allocation between treatment and control groups under Bayesian linear models. We derive an analytic expression for the Bayes risk, which depends jointly on…
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…
Adaptative significance levels in linear regression models with known variance
Alejandra Estefanía Patiño Hoyos, Victor Fossaluza
The Full Bayesian Significance Test (FBST) for precise hypotheses was presented by Pereira and Stern [Entropy 1(4) (1999) 99-110] as a Bayesian alternative instead of the tradition…
Adaptative significance levels in normal mean hypothesis testing
Alejandra Estefanía Patiño Hoyos, Victor Fossaluza
The Full Bayesian Significance Test (FBST) for precise hypotheses was presented by Pereira and Stern (1999) as a Bayesian alternative instead of the traditional significance test b…
Full Bayesian Modeling for fMRI Group Analysis
Johnatan Cardona Jiménez, Carlos Alberto de Bragança Pereira, Victor Fossaluza
Functional magnetic resonance imaging or functional MRI (fMRI) is a non-invasive way to assess brain activity by detecting changes associated with blood flow. In this work, we prop…
Building complex networks through classical and Bayesian statistics - a comparison
Lina D. Thomas, Victor Fossaluza, Anatoly Yambartsev
This research is about studying and comparing two different ways of building complex networks. The main goal of our study is to find an effective way to build networks, particularl…