32 citations · 53 across the 10 of their papers we have counts for
10 papers
Bayesian Additive Main Effects and Multiplicative Interaction Models using Tensor Regression for Multi-environmental Trials
Antonia A. L. Dos Santos, Danilo A. Sarti, Rafael A. Moral +1
We propose a Bayesian tensor regression model to accommodate the effect of multiple factors on phenotype prediction. We adopt a set of prior distributions that resolve identifiabil…
Going beyond richness: Modelling the BEF relationship using species identity, evenness, richness and species interactions via the DImodels R package
Rafael A. Moral, Rishabh Vishwakarma, John Connolly +4
BEF studies aim to understand how ecosystems respond to a gradient of species diversity. Diversity-Interactions (DI) models are suitable for analysing the BEF relationship. These m…
Profiling Television Watching Behaviour Using Bayesian Hierarchical Joint Models for Time-to-Event and Count Data
Rafael A. Moral, Zhi Chen, Shuai Zhang +4
Customer churn prediction is a valuable task in many industries. In telecommunications it presents great challenges, given the high dimensionality of the data, and how difficult it…
Pattern-Based Prediction of Population Outbreaks
Gabriel R. Palma, Wesley A. C. Godoy, Eduardo Engel +5
Insect outbreaks are biotic disturbances in forests and agroecosystems that cause economic and ecological damage. This phenomenon depends on a variety of biological and physical fa…
Variational Inference for Additive Main and Multiplicative Interaction Effects Models
AntÔnia A. L. Dos Santos, Rafael A. Moral, Danilo A. Sarti +1
In plant breeding the presence of a genotype by environment (GxE) interaction has a strong impact on cultivation decision making and the introduction of new crop cultivars. The com…
A Bayesian Model to Estimate Abundance Based on Scarce Animal Vestige Data
Niamh Mimnagh, Iuri Ferreira, Luciano Verdade +1
We propose a modelling framework which allows for the estimation of abundances from trace counts. This indirect method of estimating abundance is attractive due to the relative aff…
Accounting for shared covariates in semi-parametric Bayesian additive regression trees
Estevão B. Prado, Andrew C. Parnell, Keefe Murphy +3
We propose some extensions to semi-parametric models based on Bayesian additive regression trees (BART). In the semi-parametric BART paradigm, the response variable is approximated…
Bayesian Additive Regression Trees with Model Trees
Estevão B. Prado, Rafael A. Moral, Andrew C. Parnell
Bayesian Additive Regression Trees (BART) is a tree-based machine learning method that has been successfully applied to regression and classification problems. BART assumes regular…
Global Short-Term Forecasting of Covid-19 Cases
Thiago de Paula Oliveira, Rafael de Andrade Moral
The continuously growing number of COVID-19 cases pressures healthcare services worldwide. Accurate short-term forecasting is thus vital to support country-level policy making. The…
Modeling data with zero inflation and overdispersion using GAMLSSs
Gustavo Thomas, Luiz R. Nakamura, Rafael A. Moral +1
Count data with high frequencies of zeros are found in many areas, specially in biology. Statistical models to analyze such data started to be developed in the 80s and are still a…