33 citations · 36 across the 10 of their papers we have counts for
6 papers · 1 filter
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…
Multivariate Unified Skew-t Distributions And Their Properties
Kesen Wang, Maicon J. Karling, Reinaldo B. Arellano-Valle +1
The unified skew-t (SUT) is a flexible parametric multivariate distribution that accounts for skewness and heavy tails in the data. A few of its properties can be found scattered i…
Sub-dimensional Mardia measures of multivariate skewness and kurtosis
Joydeep Chowdhury, Subhajit Dutta, Reinaldo B. Arellano-Valle +1
The Mardia measures of multivariate skewness and kurtosis summarize the respective characteristics of a multivariate distribution with two numbers. However, these measures do not r…
Tractable Bayes of Skew-Elliptical Link Models for Correlated Binary Data
Zhongwei Zhang, Reinaldo B. Arellano-Valle, Marc G. Genton +1
Correlated binary response data with covariates are ubiquitous in longitudinal or spatial studies. Among the existing statistical models the most well-known one for this type of da…
Errors-in-variables beta regression models
Jalmar M. F. Carrasco, Silvia L. P. Ferrari, Reinaldo B. Arellano-Valle
Beta regression models provide an adequate approach for modeling continuous outcomes limited to the interval (0,1). This paper deals with an extension of beta regression models tha…
Maximum penalized likelihood estimation for skew-normal and skew- distributions
Adelchi Azzalini, Reinaldo B. Arellano-Valle
The skew-normal and the skew- distributions are parametric families which are currently under intense investigation since they provide a more flexible formulation compared to th…