Random fields on the hypertorus: covariance modeling and applications

Cites Work

An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach
Spatio-temporal circular models with non-separable covariance structure
Strictly and non-strictly positive definite functions on spheres
Global space-time models for climate ensembles
From Schoenberg coefficients to Schoenberg functions
Characterization theorems for some classes of covariance functions associated to vector valued random fields
Strictly positive definite kernels on a product of spheres
Spatial variation of total column ozone on a global scale
Schoenberg's theorem for real and complex Hilbert spheres revisited
Orthogonal expansions related to compact Gelfand pairs
Spatio-temporal short-term wind forecast: a calibrated regime-switching method
Towards a complete picture of stationary covariance functions on spheres cross time
A hierarchical multivariate spatio-temporal model for clustered climate data with annual cycles
Covariance functions on spheres cross time: beyond spatial isotropy and temporal stationarity
Strictly positive definite kernels on a product of circles
Space and circular time log Gaussian Cox processes with application to crime event data
Orthogonal polynomials.
Metric spaces and completely monotone functions.
Positive definite functions on spheres
Time Series Analysis and Its Applications
Scoring Rules for Continuous Probability Distributions
Nonseparable, Stationary Covariance Functions for Space–Time Data
Bayesian Measures of Model Complexity and Fit
Goodness of fit tests for discrete distributions
Estimating Space and Space-Time Covariance Functions for Large Data Sets: A Weighted Composite Likelihood Approach
Powering Up With Space-Time Wind Forecasting
Strictly Proper Scoring Rules, Prediction, and Estimation
Calibrated Probabilistic Forecasting at the Stateline Wind Energy Center
Bernstein functions. Theory and applications
An adaptive Metropolis algorithm
Modeling Temporally Evolving and Spatially Globally Dependent Data
30 years of space-time covariance functions
Axially symmetric models for global data: a journey between geostatistics and stochastic generators
Nonseparable covariance models on circles cross time: a study of Mexico City ozone

This page was built for publication: Random fields on the hypertorus: covariance modeling and applications

Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6626413)