This paper is concerned with the formulation of an adequate likelihood function in the
application of Bayesian epistemology to uncertainty quantification of hydrologic models. We …

A unified formula for various moments of the multivariate normal distribution with sectional
truncation is derived using a non-recursive method, where sectional truncation is given by …

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

Learning the tail behavior of a distribution is a notoriously difficult problem. By definition, the
number of samples from the tail is small, and deep generative models, such as normalizing …

Generalized distributions are useful for applied statisticians, and some of the popular
distributions can be extended in several ways. In this study, we introduce a new family of …

Stripe truncation in the normal distribution is introduced such that the variable is truncated
when it is located on several intervals like stripes. This truncation includes single, double …

The supplement contains proofs of the main results and technical details for some remarks
and examples. Sections A to E of the supplement correspond to Sections 2 to 6 of the paper …

A well-known problem in cosmology is the 'Hubble tension'problem, ie different estimates for
the Hubble constant H 0 are not concordant with each other. This work investigates different …

In Kwon and Satchell (2018), a theoretical framework was introduced to investigate the
distributional properties of the cross-sectional momentum returns under the assumption that …

The non-null distribution of the sample correlation coefficient under bivariate normality is
derived when each of the associated two sample variances is subject to stripe truncation …