ABSTRACT A broad class of models that routinely appear in several fields can be expressed
as partially or fully discretized Gaussian linear regressions. Besides including classical …

Allele substitution effects at quantitative trait loci (QTL) are part of the basis of quantitative
genetics theory and applications such as association analysis and genomic prediction. In …

In this paper, we compute doubly truncated moments for the selection elliptical class of
distributions, including some multivariate asymmetric versions of well-known elliptical …

The broad class of multivariate unified skew-normal (SUN) distributions has been recently
shown to possess fundamental conjugacy properties. When used as priors for the vector of …

We derive the Kendall and Spearman rank correlation coefficients of the bivariate skew
normal (SN) distribution. For a given correlation parameter, we provide conditions on the …

The multivariate skew-normal distribution is useful for modeling departures from normality in
data through parameters controlling skewness. Recently, several extensions of this …

The properties of the progenitors of gamma-ray bursts and of their environment are encoded
in their luminosity function and cosmic formation rate. They are usually recovered from a flux …

In this paper we introduce a novel Tail Mean-Variance (TMV) model intended to optimize
capital allocation in financial decision-making. The TMV model has many intriguing …

The multivariate skew-t distribution plays an important role in statistics since it combines
skewness with heavy tails, a very common feature in real-world data. A generalization of this …

Limited or censored data are collected in many studies. This occurs for many reasons in
several practical situations, such as limitations in measuring equipment or from an …