Pages that link to "Item:Q1731058"

The following pages link to Estimation and prediction using generalized Wendland covariance functions under fixed domain asymptotics (Q1731058):

Displaying 43 items.

• Unifying compactly supported and Matérn covariance functions in spatial statistics (Q69403) (← links)
• A class of random fields with two-piece marginal distributions for modeling point-referenced data with spatial outliers (Q69407) (← links)
• Modelling Point Referenced Spatial Count Data: A Poisson Process Approach (Q69412) (← links)
• A multi-resolution approximation via linear projection for large spatial datasets (Q825323) (← links)
• Estimation and prediction using generalized Wendland covariance functions under fixed domain asymptotics (Q1731058) (← links)
• Composite likelihood estimation for a Gaussian process under fixed domain asymptotics (Q2008225) (← links)
• Lasso estimation for spherical autoregressive processes (Q2029797) (← links)
• On the inference of applying Gaussian process modeling to a deterministic function (Q2074282) (← links)
• The SPDE approach to Matérn fields: graph representations (Q2092895) (← links)
• On information about covariance parameters in Gaussian Matérn random fields (Q2102988) (← links)
• Bayesian fixed-domain asymptotics for covariance parameters in a Gaussian process model (Q2112815) (← links)
• Necessary and sufficient conditions for asymptotically optimal linear prediction of random fields on compact metric spaces (Q2131265) (← links)
• Asymptotic properties of the maximum likelihood and cross validation estimators for transformed Gaussian processes (Q2180085) (← links)
• Stein hypothesis and screening effect for covariances with compact support (Q2192310) (← links)
• Gaussian processes with multidimensional distribution inputs via optimal transport and Hilbertian embedding (Q2192319) (← links)
• A case study competition among methods for analyzing large spatial data (Q2272997) (← links)
• A Kalman filter method for estimation and prediction of space-time data with an autoregressive structure (Q2317322) (← links)
• Maximum likelihood estimation for Gaussian processes under inequality constraints (Q2323946) (← links)
• Estimation and prediction of Gaussian processes using generalized Cauchy covariance model under fixed domain asymptotics (Q2326046) (← links)
• On positive definiteness of some radial functions (Q2357049) (← links)
• Spectral conditions for equivalence of Gaussian random fields with stationary increments (Q2631875) (← links)
• New validity conditions for the multivariate Matérn coregionalization model, with an application to exploration geochemistry (Q2676515) (← links)
• A Riemann-Stein kernel method (Q2676917) (← links)
• Asymptotically equivalent prediction in multivariate geostatistics (Q2676929) (← links)
• Generalised Wendland functions for the sphere (Q2677309) (← links)
• Multivariate Gaussian Random Fields over Generalized Product Spaces involving the Hypertorus (Q5047938) (← links)
• A deep look into the dagum family of isotropic covariance functions (Q5049894) (← links)
• Space-Time Estimation and Prediction under Infill Asymptotics with Compactly Supported Covariance Functions (Q5089441) (← links)
• (Q5148979) (← links)
• Asymptotic Analysis of Maximum Likelihood Estimation of Covariance Parameters for Gaussian Processes: An Introduction with Proofs (Q5871001) (← links)
• Discussion on competition for spatial statistics for large datasets (Q5970757) (← links)
• Extending the Gneiting class for modeling spatially isotropic and temporally symmetric vector random fields (Q6044189) (← links)
• Estimating the parameters of some common Gaussian random fields with nugget under fixed-domain asymptotics (Q6103257) (← links)
• Assessing the estimation of nearly singular covariance matrices for modeling spatial variables (Q6144425) (← links)
• Asymptotic analysis of ML-covariance parameter estimators based on covariance approximations (Q6184897) (← links)
• A flexible Clayton-like spatial copula with application to bounded support data (Q6200954) (← links)
• Nearest neighbors weighted composite likelihood based on pairs for (non-)Gaussian massive spatial data with an application to Tukey-\(hh\) random fields estimation (Q6554236) (← links)
• Selection Criterion of Working Correlation Structure for Spatially Correlated Data (Q6562797) (← links)
• Fixed-Domain Posterior Contraction Rates for Spatial Gaussian Process Model with Nugget (Q6567928) (← links)
• The Matérn model: a journey through statistics, numerical analysis and machine learning (Q6579154) (← links)
• Extending the generalized Wendland covariance model (Q6595780) (← links)
• Nonseparable covariance models on circles cross time: a study of Mexico City ozone (Q6626087) (← links)
• On modeling positive continuous data with spatiotemporal dependence (Q6626180) (← links)