9 papers
Bayesian repulsive mixture model for multivariate functional data
Ricardo Cunha Pedroso, Fernando Andrés Quintana, Rosangela Helena Loschi
We introduce a repulsive mixture model to cluster observation units represented by multivariate functional data, based on similarity of curve shapes and individual-specific covaria…
Directional Asymmetry in Edge BasedSpatial Models via a Skew Normal Prior
Danna L. Cruz-Reyes, Renato M. Assunção, Reinaldo B. Arellano-Valle +1
We introduce a skewed edge based spatial prior, named RENeGe sk that extends the Gaussian RENeGe framework by incorporating directional asymmetry through a skew normal distribution…
Modeling temporal dependence in a sequence of spatial random partitions driven by spanning tree: an application to mosquito-borne diseases
Jessica Pavani, Rosangela Helena Loschi, Fernando Andres Quintana
Spatially constrained clustering is an important field of research, particularly when it involves changes over time. Partitioning a map is not simple since there is a vast number o…
Multipartition model for multiple change point identification
Ricardo C. Pedroso, Rosangela H. Loschi, Fernando Andrés Quintana
Among the main goals in multiple change point problems are the estimation of the number and positions of the change points, as well as the regime structure in the clusters induced…
Bayesian Dynamic Estimation of Mortality Schedules in Small Areas
Guilherme Lopes de Oliveira, Rosangela Helena Loschi, Renato Martins Assunção
The determination of the shapes of mortality curves, the estimation and projection of mortality patterns over time, and the investigation of differences in mortality patterns acros…
Estimation of underreporting in Brazilian tuberculosis data, 2012-2014
Guilherme Lopes de Oliveira, Rosangela Helena Loschi
Analysis of burden of underregistration in tuberculosis data in Brazil, from 2012 to 2014. Approches of Oliveira et al. (2020) and Stoner et al. (2019) are applied. The main focus…
Multivariate Log-Skewed Distributions with normal kernel and their Applications
Marina M. de Queiroz, Rosangela H. Loschi, Roger W. C. Silva
We introduce two classes of multivariate log skewed distributions with normal kernel: the log canonical fundamental skew-normal (log-CFUSN) and the log unified skew-normal (log-SUN…
Flexible Bayesian modelling in dichotomous item response theory using mixtures of skewed item curves
Flávio B. Gonçalves, Juliane Venturelli, Rosangela H. Loschi
Most Item Response Theory (IRT) models for dichotomous responses are based on probit or logit link functions which assume a symmetric relationship between the probability of a corr…
Shannon Entropy and Kullback-Leibler Divergence in Multivariate Log Fundamental Skew-Normal and Related Distributions
Marina Muniz, Roger Silva, Rosangela Loschi
This paper mainly focuses on studying the Shannon Entropy and Kullback-Leibler divergence of the multivariate log canonical fundamental skew-normal (LCFUSN) and canonical fundament…