Pages that link to "Item:Q3330347"

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

Displaying 36 items.

• Asymptotic Analysis of Maximum Likelihood Estimation of Covariance Parameters for Gaussian Processes: An Introduction with Proofs (Q5871001) (← links)
• Model-based transductive learning of the kernel matrix (Q5898261) (← links)
• Model-based transductive learning of the kernel matrix (Q5920613) (← links)
• Computationally efficient restricted maximum likelihood estimation of generalized covariance functions (Q5935020) (← links)
• On maximum likelihood estimation of parameters in incorrectly specified models of covariance for spatial data (Q5935028) (← links)
• Estimation of covariance parameters in Kriging via restricted maximum likelihood (Q5935042) (← links)
• Quadratic covariance estimation and equivalence of predictions (Q5935063) (← links)
• Rao's score test in spatial econometrics (Q5943797) (← links)
• Mixed Domain Asymptotics for Geostatistical Processes (Q6039890) (← links)
• A spatial logistic regression model based on a valid skew-Gaussian latent field (Q6045978) (← links)
• Assuming independence in spatial latent variable models: Consequences and implications of misspecification (Q6055531) (← links)
• Penalty and related estimation strategies in the spatial error model (Q6064124) (← links)
• Optimal spatial design for air quality measurement surveys (Q6069108) (← links)
• Selection of linear mixed‐effects models for clustered data (Q6073428) (← links)
• Actual error rates in linear discrimination of spatial Gaussian data in terms of semivariograms (Q6106258) (← links)
• Bounds in \(L^1\) Wasserstein distance on the normal approximation of general M-estimators (Q6158227) (← links)
• Assessing the significance of the correlation between the components of a bivariate Gaussian random field (Q6179603) (← links)
• Asymptotic analysis of ML-covariance parameter estimators based on covariance approximations (Q6184897) (← links)
• BRISC: bootstrap for rapid inference on spatial covariances (Q6541456) (← links)
• Parametric energy conserving sampling and weighting for the thermal analysis of selective laser melting (Q6558985) (← links)
• Fixed-Domain Posterior Contraction Rates for Spatial Gaussian Process Model with Nugget (Q6567928) (← links)
• Leveraging the nugget parameter for efficient Gaussian process modeling (Q6569246) (← links)
• Efficient prediction designs for random fields (Q6574704) (← links)
• The Matérn model: a journey through statistics, numerical analysis and machine learning (Q6579154) (← links)
• Local polynomial trend regression for spatial data on \(\mathbb{R}^d\) (Q6589573) (← links)
• Extending the generalized Wendland covariance model (Q6595780) (← links)
• Large-sample properties of non-stationary source separation for Gaussian signals (Q6597248) (← links)
• 30 years of space-time covariance functions (Q6602109) (← links)
• Nearest-neighbor sparse Cholesky matrices in spatial statistics (Q6602373) (← links)
• Permutation and Grouping Methods for Sharpening Gaussian Process Approximations (Q6622448) (← links)
• Nonparametric Modeling and Prognosis of Condition Monitoring Signals Using Multivariate Gaussian Convolution Processes (Q6622455) (← links)
• On estimation and prediction of geostatistical regression models via a corrected Stein's unbiased risk estimator (Q6625826) (← links)
• Calibrated prediction regions for Gaussian random fields (Q6625904) (← links)
• Gaussian likelihood inference on data from trans-Gaussian random fields with Matérn covariance function (Q6626000) (← links)
• Multikernel linear mixed model with adaptive Lasso for complex phenotype prediction (Q6627331) (← links)
• A spatially explicit \(\mathrm{N}\)-mixture model for the estimation of disease prevalence (Q6669914) (← links)