Space–Time Covariance Functions
From MaRDI portal
Publication:5754817
DOI10.1198/016214504000000854zbMath1117.62431OpenAlexW2008843571MaRDI QIDQ5754817
Publication date: 20 August 2007
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1198/016214504000000854
Related Items
Restricted covariance priors with applications in spatial statistics, Temperature prediction based on a space–time regression-kriging model, Prediction of particle pollution through spatio-temporal multivariate geostatistical analysis: spatial special issue, Spatial-temporal modellization of the \(\mathrm{NO}_2\) concentration data through geostatistical tools, New compactly supported spatiotemporal covariance functions from SPDEs, Recent developments on the construction of spatio-temporal covariance models, New classes of covariance and spectral density functions for spatio-temporal modelling, Full scale multi-output Gaussian process emulator with nonseparable auto-covariance functions, Spectral conditions for equivalence of Gaussian random fields with stationary increments, Composite likelihood inference for multivariate Gaussian random fields, Estimation of parameterized spatio-temporal dynamic models, A new method to build spatio-temporal covariance functions: analysis of ozone data, Flexible integro-difference equation modeling for spatio-temporal data, Change of spatiotemporal scale in dynamic models, On Moran's \(I\) coefficient under heterogeneity, Modelling spatio-temporal data: a new variogram and covariance structure proposal, Modeling Space and Space-Time Directional Data Using Projected Gaussian Processes, Structure of the random measure associated with an isotropic stationary process, Characteristics of some classes of space-time covariance functions, Quantifying deviations from separability in space-time functional processes, A general science-based framework for dynamical spatio-temporal models, Modeling Nonstationarity in Space and Time, Modeling Temporally Evolving and Spatially Globally Dependent Data, Geostatistical Methods for Disease Mapping and Visualisation Using Data from Spatio‐temporally Referenced Prevalence Surveys, On Some Characteristics of Gaussian Covariance Functions, Gaussian processes for time-series modelling, Spatio-temporal generalized complex covariance models based on convolution, A new construction of covariance functions for Gaussian random fields, A dynamic nonstationary spatio-temporal model for short term prediction of precipitation, Maximum Likelihood Algorithm for Spatial Generalized Linear Mixed Models without Numerical Evaluations of Intractable Integrals, Bayesian modeling of discrete-time point-referenced spatio-temporal data, Covariance models for multivariate random fields resulting from pseudo cross-variograms, Regularity properties and simulations of Gaussian random fields on the sphere cross time, A general procedure for selecting a class of fully symmetric space‐time covariance functions, Spatio-Temporal Cross-Covariance Functions under the Lagrangian Framework with Multiple Advections, Space-time covariance models on networks, Fractal and smoothness properties of space-time Gaussian models, On the Frequency Variogram and on Frequency Domain Methods for the Analysis of Spatio-Temporal Data, Some covariance models based on normal scale mixtures, Modeling temporal gradients in regionally aggregated California asthma hospitalization data, On a class of space-time intrinsic random functions, Spatio-temporal analysis with short- and long-memory dependence: a state-space approach, Space–time correlation analysis: a comparative study, Bayesian spatio-temporal models based on discrete convolutions, Spatio-temporal modeling and prediction of CO concentrations in Tehran city, 2010 Rietz lecture: When does the screening effect hold?, Estimating Spatial Changes Over Time of Arctic Sea Ice using Hidden 2×2 Tables, Marginally restricted D-optimal designs for correlated observations, Some statistical issues in climate science, Separable factor analysis with applications to mortality data, Spatio-temporal variograms and covariance models, Statistical comparisons of methods for interpolating the output of a numerical air quality model, Nonparametric estimation of correlation functions in longitudinal and spatial data, with application to colon carcinogenesis experiments, Testing lack of symmetry in spatial-temporal processes, Bayesian clustering of animal abundance trends for inference and dimension reduction, Using simultaneous diagonalization to identify a space-time linear coregionalization model, Bayesian Estimation and Prediction for Inhomogeneous Spatiotemporal Log-Gaussian Cox Processes Using Low-Rank Models, With Application to Criminal Surveillance, An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach, A class of random fields with two-piece marginal distributions for modeling point-referenced data with spatial outliers, Unifying compactly supported and Matérn covariance functions in spatial statistics, Continuous spatial process models for spatial extreme values, Covariance functions that are stationary or nonstationary in space and stationary in time, Some theory for anisotropic processes on the sphere, Semiparametric method and theory for continuously indexed spatio-temporal processes, Spatio-temporal short-term wind forecast: a calibrated regime-switching method, A tuning parameter free test for properties of space-time covariance functions, Spatial-temporal mesoscale modeling of rainfall intensity using gage and radar data, Time-varying correlation structure estimation and local-feature detection for spatio-temporal data, La descente et la montée étendues [extended rises and descents: the spatially \(d\)-anisotropic and the spatio-temporal case], Marginal likelihood for parallel series, Lévy-based growth models, On the asymptotic joint distribution of sample space-time covariance estimators, Bayesian modeling and analysis for gradients in spatiotemporal processes, Gaussian Predictive Process Models for Large Spatial Data Sets, Gaussian fields and Gaussian sheets with generalized Cauchy covariance structure, Considering groups in the statistical modeling of spatio-temporal data, Continuity in the Hurst index of the local times of anisotropic Gaussian random fields, Model comparison and selection for stationary space-time models, Local Gaussian Process Model for Large-Scale Dynamic Computer Experiments, Quasi-arithmetic means of covariance functions with potential applications to space-time data, A class of covariate-dependent spatiotemporal covariance functions for the analysis of daily ozone concentration, A Class of Convolution-Based Models for Spatio-Temporal Processes with Non-Separable Covariance Structure, Spatiotemporal filtering from fractal spatial functional data sequence, Statistical Methods for Regular Monitoring Data, A general framework for SPDE-based stationary random fields, A Sequential Design Approach for Calibrating Dynamic Computer Simulators, Regularity and approximation of Gaussian random fields evolving temporally over compact two-point homogeneous spaces, A reparametrization approach for dynamic space-time models, Recent advances to model anisotropic space-time data, Spatiotemporal satellite data imputation using sparse functional data analysis, Spatio-temporal expanding distance asymptotic framework for locally stationary processes, Entropy-based correlated shrinkage of spatial random processes, Study of spatial relationships between two sets of variables: a nonparametric approach, Rejoinder on: ``Comparing and selecting spatial predictors using local criteria, Exact moduli of continuity for operator-scaling Gaussian random fields, Multivariate spatio-temporal models for high-dimensional areal data with application to longitudinal employer-household dynamics