3 papers
stat.AP2021
A heavy-tailed and overdispersed collective risk model
Pamela M. Chiroque-Solano, Fernando A. S. Moura
Insurance data can be asymmetric with heavy tails, causing inadequate adjustments of the usually applied models. To deal with this issue, hierarchical models for collective risk wi…
stat.CO2018
Bayesian cross-validation of geostatistical models
Viviana G R Lobo, Thaís C O da Fonseca, Fernando A S Moura
The problem of validating or criticising models for georeferenced data is challenging, since the conclusions can vary significantly depending on the locations of the validation set…
stat.ME2014
A mixture model for rare and clustered populations under adaptive cluster sampling
Kelly Cristina M. Gonçalves, Fernando A. S. Moura
Rare populations, such as endangered species, drug users and individuals infected by rare diseases, tend to cluster in regions. Adaptive cluster designs are generally applied to ob…