Extending the generalized Wendland covariance model

Cites Work

Unnamed Item
Unnamed Item
Unnamed Item
Unnamed Item
Unnamed Item
Unnamed Item
Unnamed Item
An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach
Unifying compactly supported and Matérn covariance functions in spatial statistics
Closed form representations for a class of compactly supported radial basis functions
Wendland functions with increasing smoothness converge to a Gaussian
The missing Wendland functions
On the derivative of the associated Legendre function of the first kind of integer degree with respect to its order (with applications to the construction of the associated Legendre function of the second kind of integer degree and order)
Correlation theory of stationary and related random functions. Volume I: Basic results
Interpolation of spatial data. Some theory for kriging
The design and analysis of computer experiments.
Estimation and prediction using generalized Wendland covariance functions under fixed domain asymptotics
Compactly supported correlation functions
Piecewise polynomial, positive definite and compactly supported radial functions of minimal degree
Closed form representations and properties of the generalised Wendland functions
A case study competition among methods for analyzing large spatial data
Rational extension of the Newton diagram for the positivity of \({}_1F_2\) hypergeometric functions and Askey-Szegö problem
Estimation and prediction of Gaussian processes using generalized Cauchy covariance model under fixed domain asymptotics
Metric spaces and completely monotone functions.
Studies in the history of probability and statistics XLIX On the Matérn correlation family
Geostatistics
Maximum likelihood estimation of models for residual covariance in spatial regression
Direct Methods for Sparse Linear Systems
On some properties of Buhmann functions
A note on composite likelihood inference and model selection
Newton diagram of positivity for ₁F₂ generalized hypergeometric functions
Strictly Proper Scoring Rules, Prediction, and Estimation
Covariance Tapering for Likelihood-Based Estimation in Large Spatial Data Sets
Inconsistent Estimation and Asymptotically Equal Interpolations in Model-Based Geostatistics
ON STATIONARY PROCESSES IN THE PLANE
Asymptotic Analysis of Maximum Likelihood Estimation of Covariance Parameters for Gaussian Processes: An Introduction with Proofs
Estimators of fractal dimension: assessing the roughness of time series and spatial data
A general framework for Vecchia approximations of Gaussian processes
Asymptotic analysis of ML-covariance parameter estimators based on covariance approximations
Nearest neighbors weighted composite likelihood based on pairs for (non-)Gaussian massive spatial data with an application to Tukey-\(hh\) random fields estimation
The Matérn model: a journey through statistics, numerical analysis and machine learning
Permutation and Grouping Methods for Sharpening Gaussian Process Approximations

This page was built for publication: Extending the generalized Wendland covariance model