3 citations · 4 across the 5 of their papers we have counts for
6 papers
Bayesian analysis for pretest-posttest binary outcomes with adaptive significance levels
Alejandra Estefanía Patiño Hoyos, Johnatan Cardona Jiménez
Count outcomes in longitudinal studies are frequent in clinical and engineering studies. In frequentist and Bayesian statistical analysis, methods such as Mixed linear models allow…
Energy Consumption Analysis Of Machining Centers Using Bayesian Analysis And Genetic Optimization
Johnatan Cardona Jiménez, María I. Ardila, J. S. Rudas +3
Responding to the current urgent need for low carbon emissions and high efficiency in manufacturing processes, the relationships between three different machining factors (depth of…
BayesDLMfMRI: Bayesian Matrix-Variate Dynamic Linear Models for Task-based fRMI Modeling in R
Johnatan Cardona Jiménez
This article introduces an R package to perform statistical analysis for task-based fMRI data at both individual and group levels. The analysis to detect brain activation at the in…
fMRI group analysis based on outputs from Matrix-Variate Dynamic Linear Models
Johnatan Cardona Jiménez
In this work, we describe in more detail how to perform fMRI group analysis using inputs from modeling fMRI signal using Matrix-Variate Dynamic Linear Models (MDLM) at the individu…
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…
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…