Rafael A. Moral | DeepAI

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∙ 01/09/2023

Bayesian Additive Main Effects and Multiplicative Interaction Models using Tensor Regression for Multi-environmental Trials

We propose a Bayesian tensor regression model to accommodate the effect ...

0 AntÔnia A. L. Dos Santos, et al. ∙

∙ 12/09/2022

Going beyond richness: Modelling the BEF relationship using species identity, evenness, richness and species interactions via the DImodels R package, and a comparison with trad

BEF studies aim at understanding how ecosystems respond to a gradient of...

0 Rafael A. Moral, et al. ∙

∙ 09/06/2022

Profiling Television Watching Behaviour Using Bayesian Hierarchical Joint Models for Time-to-Event and Count Data

Customer churn prediction is a valuable task in many industries. In tele...

3 Rafael A. Moral, et al. ∙

∙ 06/29/2022

Variational Inference for Additive Main and Multiplicative Interaction Effects Models

In plant breeding the presence of a genotype by environment (GxE) intera...

0 AntÔnia A. L. Dos Santos, et al. ∙

∙ 08/17/2021

Semi-parametric Bayesian Additive Regression Trees

We propose a new semi-parametric model based on Bayesian Additive Regres...

0 Estevão B. Prado, et al. ∙

∙ 07/08/2020

Modelling excess zeros in count data: A new perspective on modelling approaches

We consider models underlying regression analysis of count data in which...

0 John Haslett, et al. ∙

∙ 06/12/2020

Bayesian Additive Regression Trees with Model Trees

Bayesian Additive Regression Trees (BART) is a tree-based machine learni...

0 Estevão B. Prado, et al. ∙

∙ 10/05/2018

Modeling data with zero inflation and overdispersion using GAMLSSs

Count data with high frequencies of zeros are found in many areas, speci...

0 Gustavo Thomas, et al. ∙

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