Pages that link to "Item:Q3330347"

The following pages link to Maximum likelihood estimation of models for residual covariance in spatial regression (Q3330347):

Displaying 50 items.

• Uncertainty quantification for a sailing yacht hull, using multi-fidelity Kriging (Q1646061) (← links)
• Multi-fidelity meta-modeling for reservoir engineering - application to history matching (Q1693744) (← links)
• Hierarchical Bayesian level set inversion (Q1703838) (← links)
• Estimation and prediction using generalized Wendland covariance functions under fixed domain asymptotics (Q1731058) (← links)
• Strictly positive definite multivariate covariance functions on spheres (Q1749989) (← links)
• Asymptotic distributions of M-estimators in a spatial regression model under some fixed and stochastic spatial sampling designs (Q1768124) (← links)
• Cross validation and maximum likelihood estimations of hyper-parameters of Gaussian processes with model misspecification (Q1800115) (← links)
• Compactly supported correlation functions (Q1861401) (← links)
• A conversation with Kanti Mardia (Q1872597) (← links)
• Asymptotics for REML estimation of spatial covariance parameters (Q1918168) (← links)
• Spectral and circulant approximations to the likelihood for stationary Gaussian random fields (Q1918173) (← links)
• Generation of a cokriging metamodel using a multiparametric strategy (Q1934504) (← links)
• Composite likelihood estimation for a Gaussian process under fixed domain asymptotics (Q2008225) (← links)
• Semiparametric method and theory for continuously indexed spatio-temporal processes (Q2022565) (← links)
• Variational Bayes on manifolds (Q2058893) (← links)
• Stochastic local interaction model: an alternative to kriging for massive datasets (Q2066859) (← links)
• On the inference of applying Gaussian process modeling to a deterministic function (Q2074282) (← links)
• Response envelopes for linear coregionalization models (Q2079594) (← links)
• Bayesian inference for brain activity from functional magnetic resonance imaging collected at two spatial resolutions (Q2080775) (← links)
• Spatio-temporal expanding distance asymptotic framework for locally stationary processes (Q2082342) (← links)
• Sequential design strategy for kriging and cokriging-based machine learning in the context of reservoir history-matching (Q2085079) (← links)
• Inference of random effects for linear mixed-effects models with a fixed number of clusters (Q2087406) (← links)
• Robust prediction interval estimation for Gaussian processes by cross-validation method (Q2101380) (← links)
• Bayesian fixed-domain asymptotics for covariance parameters in a Gaussian process model (Q2112815) (← links)
• Asymptotic properties of the maximum likelihood and cross validation estimators for transformed Gaussian processes (Q2180085) (← links)
• Fixed-domain asymptotic properties of maximum composite likelihood estimators for Gaussian processes (Q2189098) (← links)
• High dimensional classification for spatially dependent data with application to neuroimaging (Q2209817) (← links)
• A note on spatial-temporal lattice modeling and maximum likelihood estimation (Q2231021) (← links)
• Properties of the Bayesian parameter estimation of a regression based on Gaussian processes (Q2259293) (← links)
• Estimating standard errors in regular vine copula models (Q2259341) (← links)
• Estimating and modeling spatio-temporal correlation structures for river monitoring networks (Q2259649) (← links)
• Spatial designs and properties of spatial correlation: effects on covariance estimation (Q2259829) (← links)
• Maximum likelihood estimation of regression parameters with spatially dependent discrete data (Q2260102) (← links)
• An efficient approach to spatiotemporal analysis and modeling of air pollution data (Q2261015) (← links)
• Estimating the size of a hidden finite set: large-sample behavior of estimators (Q2286344) (← links)
• Gaussian field on the symmetric group: prediction and learning (Q2293716) (← links)
• Towards a complete picture of stationary covariance functions on spheres cross time (Q2316610) (← links)
• Uncertainty quantification in robust inference for irregularly spaced spatial data using block bootstrap (Q2316975) (← links)
• Risks of classification of the Gaussian Markov random field observations (Q2317180) (← links)
• A Kalman filter method for estimation and prediction of space-time data with an autoregressive structure (Q2317322) (← links)
• Spectral methods in spatial statistics (Q2321387) (← links)
• Estimation and prediction of Gaussian processes using generalized Cauchy covariance model under fixed domain asymptotics (Q2326046) (← links)
• Influence diagnostics in elliptical spatial linear models (Q2351818) (← links)
• Intrinsic random fields and image deformations (Q2384071) (← links)
• Spatial sampling design for parameter estimation of the covariance function (Q2386161) (← links)
• On the asymptotics of maximum likelihood estimation for spatial linear models on a lattice (Q2392489) (← links)
• Cross-validation estimation of covariance parameters under fixed-domain asymptotics (Q2401354) (← links)
• A phylogenetic Gaussian process model for the evolution of curves embedded in \(d\)-dimensions (Q2416789) (← links)
• Asymptotic theory of cepstral random fields (Q2448723) (← links)
• Ultimate efficiency of experimental designs for Ornstein-Uhlenbeck type processes (Q2448800) (← links)