6 papers · 1 filter
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…
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…