3 papers
stat.ML2025
Conformal Prediction for Compositional Data
Lucas P. Amaral, Luben M. C. Cabezas, Thiago R. Ramos +1
Dirichlet regression models are suitable for compositional data, in which the response variable represents proportions that sum to one. However, there are still no well-established…
stat.ME2025
A more interpretable regression model for count data with excess of zeros
Gustavo H. A. Pereira, Jeremias Leão, Manoel Santos-Neto +1
Count data are common in medical research. When these data have more zeros than expected by the most used count distributions, it is common to employ a zero-inflated regression mod…
stat.ME2024
A comparison of the discrimination performance of lasso and maximum likelihood estimation in logistic regression model
Gilberto P. Alcântara Junior, Gustavo H. A. Pereira
Logistic regression is widely used in many areas of knowledge. Several works compare the performance of lasso and maximum likelihood estimation in logistic regression. However, par…