A class of random fields with two-piece marginal distributions for modeling point-referenced data with spatial outliers
type: Item
instance of: scholarly article
published in: TEST
published in: Test
volume: 31
issue: 3
page(s): 644-674
publication date: 2022-01-05T00:00:00Z
publication date: 2022-10-13T00:00:00Z
author: Christian Caamaño-Carrillo
author: Reinaldo B. Arellano-Valle
author: Camilo Gómez
author: Moreno Bevilacqua
title: A class of random fields with two-piece marginal distributions for modeling point-referenced data with spatial outliers
Mathematics Subject Classification ID: 60G15
Mathematics Subject Classification ID: 62H11
Mathematics Subject Classification ID: 62F10
zbMATH DE Number: 7601198
zbMATH Keywords: asymmetric random fields
zbMATH Keywords: composite likelihood
zbMATH Keywords: spatial outliers
zbMATH Keywords: Tukey-\(h\) distribution
describes a project that uses: spBayes
describes a project that uses: sn
describes a project that uses: pbivnorm
describes a project that uses: GMRFLib
describes a project that uses: gcmr
describes a project that uses: R
describes a project that uses: CopulaModel
MaRDI profile type: Publication
full work available at URL: s11749-021-00797-5
OpenAlex ID: W4206652629
cites work: Statistical inference for a general class of asymmetric distributions
cites work: Statistical Applications of the Multivariate Skew Normal Distribution
cites work: Estimating Orthant Probabilities of High-Dimensional Gaussian Vectors with An Application to Set Estimation
cites work: Efficient pairwise composite likelihood estimation for spatial-clustered data
cites work: Q4441026
cites work: Comparing composite likelihood methods based on pairs for spatial Gaussian random fields
cites work: Estimating Space and Space-Time Covariance Functions for Large Data Sets: A Weighted Composite Likelihood Approach
cites work: Estimation and prediction using generalized Wendland covariance functions under fixed domain asymptotics
cites work: Non‐Gaussian geostatistical modeling using (skew) t processes
cites work: Dependence in a background risk model
cites work: Q3058567
cites work: On Optimal Point and Block Prediction in Log-Gaussian Random Fields
cites work: Model-Based Geostatistics
cites work: A non-Gaussian multivariate distribution with all lower-dimensional Gaussians and related families
cites work: Q3959963
cites work: On Bayesian Modeling of Fat Tails and Skewness
cites work: Q5207084
cites work: Computation of multivariate normal and \(t\) probabilities
cites work: Nonseparable, Stationary Covariance Functions for Space–Time Data
cites work: Strictly and non-strictly positive definite functions on spheres
cites work: Q3084090
cites work: A Composite Likelihood Approach to Binary Spatial Data
cites work: Dependence Modeling with Copulas
cites work: On weighting of bivariate margins in pairwise likelihood
cites work: On Families of Distributions with Shape Parameters
cites work: Copula-based geostatistical modeling of continuous and discrete data including covariates
cites work: Q3825957
cites work: Gaussian copula marginal regression
cites work: The epsilon-skew-normal distribution for analyzing near-normal data
cites work: A note on multivariate folded normal distribution
cites work: Gaussian Markov Random Fields
cites work: A novel spatial outlier detection technique
cites work: Interpolation of spatial data. Some theory for kriging
cites work: Space–Time Covariance Functions
cites work: A note on composite likelihood inference and model selection
cites work: Q3074760
cites work: The two-piece normal, binormal, or double Gaussian distribution: its origin and rediscoveries
DOI: 10.1007/S11749-021-00797-5
description: scientific article; zbMATH DE number 7601198