Spherical process models for global spatial statistics (Q1704699)

scientific article; zbMATH DE number 6849279

Language	Label	Description	Also known as
English	Spherical process models for global spatial statistics	scientific article; zbMATH DE number 6849279

Statements

instance of

scholarly article

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title

Spherical process models for global spatial statistics (English)

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13 March 2018

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full work available at URL

https://projecteuclid.org/euclid.ss/1511838025

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zbMATH Keywords

axial symmetry

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chordal distance

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geodesic distance

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nonstationarity

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smoothness

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sphere

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covariance

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describes a project that uses

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A Valid Matérn Class of Cross-Covariance Functions for Multivariate Random Fields With Any Number of Components

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Spatial models generated by nested stochastic partial differential equations, with an application to global ozone mapping

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Comparing and selecting spatial predictors using local criteria

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A comparison of spatial predictors when datasets could be very large

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Global space-time models for climate ensembles

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Fixed Rank Kriging for Very Large Spatial Data Sets

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Q3058567

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Isotropic variogram matrix functions on spheres

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Hyperbolic Vector Random Fields with Hyperbolic Direct and Cross Covariance Functions

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Modeling Tangential Vector Fields on a Sphere

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Simple tests for the validity of correlation function models on the circle

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Isotropic correlation functions on <i>d</i>-dimensional balls

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Nonseparable, Stationary Covariance Functions for Space–Time Data

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Strictly and non-strictly positive definite functions on spheres

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Matérn Cross-Covariance Functions for Multivariate Random Fields

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Isotropic covariance functions on spheres: some properties and modeling considerations

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Some theory for anisotropic processes on the sphere

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On the validity of commonly used covariance and variogram functions on the sphere

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Reducing storage of global wind ensembles with stochastic generators

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Stochastic Processes on a Sphere

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Non-stationary cross-covariance models for multivariate processes on a globe

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Matérn-based nonstationary cross-covariance models for global processes

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Nonstationary covariance models for global data

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Q3945375

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Nonstationary modeling for multivariate spatial processes

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Isotropic Gaussian random fields on the sphere: regularity, fast simulation and stochastic partial differential equations

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Multiscale Representation and Analysis of Spherical Data by Spherical Wavelets

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An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach

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Stationary and isotropic vector random fields on spheres

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Mittag-Leffler vector random fields with Mittag-Leffler direct and cross covariance functions

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Student's<i>t</i>Vector Random Fields with Power-Law and Log-Law Decaying Direct and Cross Covariances

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Isotropic covariance matrix functions on all spheres

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Isotropic covariance matrix polynomials on spheres

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Stochastic representations of isotropic vector random fields on spheres

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Time varying axially symmetric vector random fields on the sphere

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Time varying isotropic vector random fields on spheres

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Random Fields on the Sphere

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Estimation of Global Temperature Fields from Scattered Observations by a Spherical-Wavelet-Based Spatially Adaptive Method

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From Schoenberg to Pick-Nevanlinna: toward a complete picture of the variogram class

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Characterization theorems for some classes of covariance functions associated to vector valued random fields

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Positive definite functions on spheres

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On a new condition for strictly positive definite functions on spheres

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Interpolation of spatial data. Some theory for kriging

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Spatial variation of total column ozone on a global scale

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Spline Interpolation and Smoothing on the Sphere

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Q5337603

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Q3326538

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Correlation theory of stationary and related random functions. Volume I: Basic results

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Inconsistent Estimation and Asymptotically Equal Interpolations in Model-Based Geostatistics

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Identifiers

zbMATH Open document ID

1381.62091

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DOI

10.1214/17-STS620

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Mathematics Subject Classification ID

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Sitelinks

Mathematics(1 entry)

mardi Publication:1704699