4 citations · 4 across the 4 of their papers we have counts for
5 papers
Bayesian factor models for multivariate categorical data obtained from questionnaires
Vitor G. C. da Silva, Kelly C. M. Gonçalves, João B. M. Pereira
Factor analysis is a flexible technique for assessment of multivariate dependence and codependence. Besides being an exploratory tool used to reduce the dimensionality of multivari…
Space-time calibration of wind speed forecasts from regional climate models
Luiz E. S. Gomes, Thaís C. O. Fonseca, Kelly C. M. Gonçalves +1
Numerical weather predictions (NWP) are systematically subject to errors due to the deterministic solutions used by numerical models to simulate the atmosphere. Statistical postpro…
Dynamic quantile linear models: a Bayesian approach
Kelly C. M. Gonçalves, Helio S. Migon, Leonardo S. Bastos
A new class of models, named dynamic quantile linear models, is presented. It combines dynamic linear models with distribution free quantile regression producing a robust statistic…
Mixture models applied to heterogeneous populations
Carolina Valani Cavalcante, Kelly Cristina Mota Gonçalves
Mixture models provide a flexible representation of heterogeneity in a finite number of latent classes. From the Bayesian point of view, Markov Chain Monte Carlo methods provide a…
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…