3 papers
stat.ME2026
Mean regression for (0,1) responses via beta scale mixtures
Arno Otto, Andriëtte Bekker, Johan Ferreira +1
To achieve a greater general flexibility for modeling heavy-tailed bounded responses, a beta scale mixture model is proposed. Each member of the family is obtained by multiplying t…
stat.ME2025
Mixtures of multivariate linear asymmetric Laplace regressions with multiple asymmetric Laplace covariates
Arnoldus F. Otto, Andriëtte Bekker, Antonio Punzo +2
In response to the challenge of accommodating non-Gaussian behaviour in data, the shifted asymmetric Laplace (SAL) cluster-weighted model (SALCWM) is introduced as a model-based me…
stat.ME2025
Modeling Bounded Count Environmental Data Using a Contaminated Beta-Binomial Regression Model
Arnoldus F. Otto, Antonio Punzo, Johannes T. Ferreira +3
This paper investigates two environmental applications related to climate change, where observations consist of bounded counts. The binomial and beta-binomial (BB) models are commo…