81 citations · 161 across the 10 of their papers we have counts for
5 papers · 1 filter
Multivariate Generalized Linear Mixed Models for Count Data
Guilherme P. Silva, Henrique A. Laureano, Ricardo R. Petterle +2
Univariate regression models have rich literature for counting data. However, this is not the case for multivariate count data. Therefore, we present the Multivariate Generalized L…
Multivariate generalized linear mixed models for underdispersed count data
Guilherme Parreira da Silva, Henrique Aparecido Laureano, Ricardo Rasmussen Petterle +2
Researchers are often interested in understanding the relationship between a set of covariates and a set of response variables. To achieve this goal, the use of regression analysis…
Flexible Tweedie regression models for continuous data
Wagner H. Bonat, Célestin C. Kokonendji
Tweedie regression models provide a flexible family of distributions to deal with non-negative highly right-skewed data as well as symmetric and heavy tailed data and can handle co…
Extended Poisson-Tweedie: properties and regression models for count data
Wagner H. Bonat, Bent Jørgensen, Célestin C. Kokonendji +2
We propose a new class of discrete generalized linear models based on the class of Poisson-Tweedie factorial dispersion models with variance of the form , where is the…
Likelihood analysis for a class of spatial geostatistical compositional models
Ana Beatriz Tozo Martins, Wagner Hugo Bonat, Paulo Justiniano Ribeiro Junior
We propose a model-based geostatistical approach to deal with regionalized compositions. We combine the additive-log-ratio transformation with multivariate geostatistical models wh…