Results 11 to 20 of about 3,217 (234)
Skew-Symmetric Generalized Normal and Generalized t Distributions
AxiomsIn this paper, we introduce the skew-symmetric generalized normal and the skew-symmetric generalized t distributions, which are skewed extensions of symmetric special cases of generalized skew-normal and generalized skew-t distributions, respectively. We
Najmeh Nakhaei Rad +3 more
doaj +4 more sources
Bayesian Inference for Skew-Symmetric Distributions [PDF]
Symmetry, 2020 Skew-symmetric distributions are a popular family of flexible distributions that conveniently model non-normal features such as skewness, kurtosis and multimodality. Unfortunately, their frequentist inference poses several difficulties, which may be adequately addressed by means of a Bayesian approach.
Fatemeh Ghaderinezhad +2 more
openaire +4 more sources
Density deconvolution for generalized skew-symmetric distributions [PDF]
Journal of Statistical Distributions and Applications, 2020 AbstractThe density deconvolution problem is considered for random variables assumed to belong to the generalized skew-symmetric (GSS) family of distributions. The approach is semiparametric in that the symmetric component of the GSS distribution is assumed known, and the skewing function capturing deviation from the symmetric component is estimated ...
openaire +3 more sources
Natural (Non‐)Informative Priors for Skew‐symmetric Distributions [PDF]
Scandinavian Journal of Statistics, 2017 AbstractIn this paper, we present an innovative method for constructing proper priors for the skewness (shape) parameter in the skew‐symmetric family of distributions. The proposed method is based on assigning a prior distribution on the perturbation effect of the shape parameter, which is quantified in terms of the total variation distance. We discuss
Holger Dette +2 more
openaire +5 more sources
Introduction to the Theme Issue: The Skew-Normal and Related Distributions
Statistica, 2020 This theme issue on the skew-Normal and related distributions is motivated by the workshop held on November 6th, 2017 in memory of Antonella Capitanio, one year after her premature loss.
Simone Giannerini, Angela Montanari
doaj +1 more source
Entropy, 2022 A novel yet simple extension of the symmetric logistic distribution is proposed by introducing a skewness parameter. It is shown how the three parameters of the ensuing skew logistic distribution may be estimated using maximum likelihood.
Mark Levene
doaj +1 more source
Multivariate skew-symmetric distributions
Applied Mathematics Letters, 2003 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Arjun K. Gupta, Fu-Chuen Chang
openaire +3 more sources
On the symmetric and skew-symmetric K-distributions
, 2021 We propose a family of four-parameter distributions that contain the K-distribution as special case. The family is derived as a mixture distribution that uses the three-parameter reflected Gamma distribution as parental and the two-parameter Gamma distribution as prior.
Trevlakis, Stylianos E. +2 more
openaire +2 more sources
Accelerating Convergence of Langevin Dynamics via Adaptive Irreversible Perturbations
Mathematics, 2023 Irreversible perturbations in Langevin dynamics have been widely recognized for their role in accelerating convergence in simulations of multi-modal distributions π(θ).
Zhenqing Wu +5 more
doaj +1 more source
Modeling skewness in human transcriptomes. [PDF]
PLoS ONE, 2012 Gene expression data are influenced by multiple biological and technological factors leading to a wide range of dispersion scenarios, although skewed patterns are not commonly addressed in microarray analyses.
Joaquim Casellas, Luis Varona
doaj +1 more source