Non-Gaussian modeling of spatial data using scale mixing of a unified skew Gaussian process
From MaRDI portal
Publication:1931847
DOI10.1016/j.jmva.2012.07.003zbMath1255.62303OpenAlexW1979526008MaRDI QIDQ1931847
Hamid Zareifard, Majid Jafari Khaledi
Publication date: 16 January 2013
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jmva.2012.07.003
Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).
Related Items (11)
The polar-generalized normal distribution: properties, Bayesian estimation and applications ⋮ A non-homogeneous skew-Gaussian Bayesian spatial model ⋮ Modeling skewed spatial data using a convolution of Gaussian and log-Gaussian processes ⋮ On the existence of some skew-Gaussian random field models ⋮ Bayesian spatial prediction of skew and censored data via a hybrid algorithm ⋮ Optimal network design for Bayesian spatial prediction of multivariate non-Gaussian environmental data ⋮ The extended skew Gaussian process for regression ⋮ An overview on the progeny of the skew-normal family -- a personal perspective ⋮ A spatial skew-Gaussian process with a specified covariance function ⋮ Generalized spatial stick-breaking processes ⋮ Extremes of order statistics of stationary processes
This page was built for publication: Non-Gaussian modeling of spatial data using scale mixing of a unified skew Gaussian process
