Pages that link to "Item:Q4468410"

The following pages link to Nonseparable, Stationary Covariance Functions for Space–Time Data (Q4468410):

Displaying 50 items.

• Regularity properties and simulations of Gaussian random fields on the sphere cross time (Q1697482) (← links)
• Spherical process models for global spatial statistics (Q1704699) (← links)
• Spatio-temporal analysis with short- and long-memory dependence: a state-space approach (Q1708368) (← links)
• Estimation and prediction using generalized Wendland covariance functions under fixed domain asymptotics (Q1731058) (← links)
• A copula model for non-Gaussian multivariate spatial data (Q1755126) (← links)
• Spatio-temporal change-point modeling (Q1763441) (← links)
• Testing for directional symmetry in spatial dependence using the periodogram (Q1765675) (← links)
• Nonseparable space-time covariance models: Some parametric families (Q1863231) (← links)
• A dynamic nonstationary spatio-temporal model for short term prediction of precipitation (Q1939996) (← links)
• Fractal and smoothness properties of space-time Gaussian models (Q1946959) (← links)
• Modeling temporal gradients in regionally aggregated California asthma hospitalization data (Q1951524) (← links)
• On a class of space-time intrinsic random functions (Q1952428) (← links)
• Semiparametric method and theory for continuously indexed spatio-temporal processes (Q2022565) (← links)
• Inference without smoothing for large panels with cross-sectional and temporal dependence (Q2024477) (← links)
• Simulating space-time random fields with nonseparable Gneiting-type covariance functions (Q2029068) (← links)
• Lasso estimation for spherical autoregressive processes (Q2029797) (← links)
• Spiked separable covariance matrices and principal components (Q2039807) (← links)
• Nonparametric spectral methods for multivariate spatial and spatial-temporal data (Q2057833) (← links)
• A general framework for SPDE-based stationary random fields (Q2073200) (← links)
• On the inference of applying Gaussian process modeling to a deterministic function (Q2074282) (← links)
• Spatio-temporal expanding distance asymptotic framework for locally stationary processes (Q2082342) (← links)
• Functional estimation of anisotropic covariance and autocovariance operators on the sphere (Q2084469) (← links)
• Modeling spatial tail dependence with Cauchy convolution processes (Q2106793) (← links)
• Gneiting's space-time positive definiteness criterion revisited (Q2114966) (← links)
• Computational advances for spatio-temporal multivariate environmental models (Q2135883) (← links)
• On Gaussian kernels on Hilbert spaces and kernels on hyperbolic spaces (Q2139169) (← links)
• Criteria and characterizations for spatially isotropic and temporally symmetric matrix-valued covariance functions (Q2158583) (← links)
• Regularization of Bayesian quasi-likelihoods constructed from complex estimating functions (Q2189604) (← links)
• A test for separability in covariance operators of random surfaces (Q2215739) (← links)
• A Gneiting-like method for constructing positive definite functions on metric spaces (Q2217975) (← links)
• Some statistical issues in climate science (Q2218015) (← links)
• A unified view of space-time covariance functions through Gelfand pairs (Q2226994) (← links)
• Modeling Ocean currents through complex random fields indexed in time (Q2238087) (← links)
• SPHARMA approximations for stationary functional time series on the sphere (Q2243556) (← links)
• Gaussian processes on the support of cylindrical surfaces, with application to periodic spatio-temporal data (Q2250694) (← links)
• Comparing sampling patterns for Kriging the spatial mean temporal trend (Q2259910) (← links)
• Spatio-temporal short-term wind forecast: a calibrated regime-switching method (Q2281197) (← links)
• Towards a complete picture of stationary covariance functions on spheres cross time (Q2316610) (← links)
• A penalized likelihood method for nonseparable space-time generalized additive models (Q2316739) (← links)
• A hierarchical multivariate spatio-temporal model for clustered climate data with annual cycles (Q2318659) (← links)
• Spatiotemporal filtering from fractal spatial functional data sequence (Q2319562) (← links)
• Generating annual fire risk maps using Bayesian hierarchical models (Q2320924) (← links)
• A reparametrization approach for dynamic space-time models (Q2324055) (← links)
• Estimation and prediction of Gaussian processes using generalized Cauchy covariance model under fixed domain asymptotics (Q2326046) (← links)
• Entropy-based correlated shrinkage of spatial random processes (Q2333335) (← links)
• Stochastic wave propagation in Maxwell's equations (Q2352405) (← links)
• Full scale multi-output Gaussian process emulator with nonseparable auto-covariance functions (Q2374734) (← links)
• Nonstationary multivariate process modeling through spatially varying coregionalization (Q2387479) (← links)
• A comparison of efficiencies between quasi-likelihood and pseudo-likelihood estimates in non-separable spatial-temporal binary data (Q2388963) (← links)
• A class of valid Matérn cross-covariance functions for multivariate spatio-temporal random fields (Q2407533) (← links)