Using the Bayesian Model Averaging Approach for Genomic Selection by Considering Skewed Error Distributions [PDF]
Background and Purpose: Genomic selection is used to select candidates for breeding programs for organisms. In this study, we use the Bayesian model averaging (BMA) method for genomic selection by considering the skewed error distributions. Materials and
Azadeh Ghazanfari +1 more
doaj
A comparison between skew-logistic and skew-normal distributions
Skew distributions are reasonable models for describing claims in property- liability insurance. We consider two well-known datasets from actuarial science and fit skew-normal and skew-logistic distributions to these dataset.
Anis Amalina
core
Smooth Normative Brain Mapping of Three-Dimensional Morphometry Imaging Data Using Skew-Normal Regression. [PDF]
Palma M +5 more
europepmc +1 more source
Identifying waves of COVID-19 mortality using skew normal curves. [PDF]
Rai K, Brown PE.
europepmc +1 more source
Coarsened Mixtures of Hierarchical Skew Normal Kernels for Flow and Mass Cytometry Analyses. [PDF]
Gorsky S, Chan C, Ma L.
europepmc +1 more source
A Note On Skew-Normal Distribution Approximation To The Negative Binomal Distribution
This article revisits the problem of approximating the negative binomial distribution. Its goal is to show that the skew-normal distribution, another alternative methodology, provides a much better approximation to negative binomial probabilities than ...
Lin, Jyh-Jiuan; Chang, Ching-Hui; Jou, Rosemary +1 more
core
A Bayesian Genomic Regression Model with Skew Normal Random Errors. [PDF]
Pérez-Rodríguez P +5 more
europepmc +1 more source
Bayesian Hierarchical Joint Modeling Using Skew-Normal/Independent Distributions. [PDF]
Chen G, Luo S.
europepmc +1 more source
Modeling absolute differences in life expectancy with a censored skew-normal regression approach. [PDF]
Moser A, Clough-Gorr K, Zwahlen M.
europepmc +1 more source

