The following pages link to Space–Time Covariance Functions (Q5754817):
Displaying 50 items.
- Some statistical issues in climate science (Q2218015) (← links)
- Continuous spatial process models for spatial extreme values (Q2260130) (← links)
- Spatio-temporal short-term wind forecast: a calibrated regime-switching method (Q2281197) (← links)
- Spatiotemporal filtering from fractal spatial functional data sequence (Q2319562) (← links)
- A reparametrization approach for dynamic space-time models (Q2324055) (← links)
- Entropy-based correlated shrinkage of spatial random processes (Q2333335) (← links)
- Rejoinder on: ``Comparing and selecting spatial predictors using local criteria'' (Q2348714) (← links)
- Exact moduli of continuity for operator-scaling Gaussian random fields (Q2348731) (← links)
- Full scale multi-output Gaussian process emulator with nonseparable auto-covariance functions (Q2374734) (← links)
- Separable factor analysis with applications to mortality data (Q2453659) (← links)
- Statistical comparisons of methods for interpolating the output of a numerical air quality model (Q2455714) (← links)
- Nonparametric estimation of correlation functions in longitudinal and spatial data, with application to colon carcinogenesis experiments (Q2456014) (← links)
- Spectral conditions for equivalence of Gaussian random fields with stationary increments (Q2631875) (← links)
- Quantifying deviations from separability in space-time functional processes (Q2676946) (← links)
- Bayesian modeling and analysis for gradients in spatiotemporal processes (Q2803472) (← links)
- Study of spatial relationships between two sets of variables: a nonparametric approach (Q2863044) (← links)
- Gaussian processes for time-series modelling (Q2955475) (← links)
- On the Frequency Variogram and on Frequency Domain Methods for the Analysis of Spatio-Temporal Data (Q2968470) (← links)
- A Class of Convolution-Based Models for Spatio-Temporal Processes with Non-Separable Covariance Structure (Q3103140) (← links)
- Local Gaussian Process Model for Large-Scale Dynamic Computer Experiments (Q3391162) (← links)
- Bayesian spatio-temporal models based on discrete convolutions (Q3526429) (← links)
- Marginally restricted D-optimal designs for correlated observations (Q3532697) (← links)
- Covariance functions that are stationary or nonstationary in space and stationary in time (Q3592397) (← links)
- Gaussian Predictive Process Models for Large Spatial Data Sets (Q3631475) (← links)
- Bayesian Estimation and Prediction for Inhomogeneous Spatiotemporal Log-Gaussian Cox Processes Using Low-Rank Models, With Application to Criminal Surveillance (Q4916442) (← links)
- Modeling Space and Space-Time Directional Data Using Projected Gaussian Processes (Q4975626) (← links)
- Temperature prediction based on a space–time regression-kriging model (Q5037100) (← links)
- Space-Time Estimation and Prediction under Infill Asymptotics with Compactly Supported Covariance Functions (Q5089441) (← links)
- Space–time correlation analysis: a comparative study (Q5123596) (← links)
- Spatio-temporal modeling and prediction of CO concentrations in Tehran city (Q5124885) (← links)
- Considering groups in the statistical modeling of spatio-temporal data (Q5148507) (← links)
- A Sequential Design Approach for Calibrating Dynamic Computer Simulators (Q5237193) (← links)
- Estimating Spatial Changes Over Time of Arctic Sea Ice using Hidden 2×2 Tables (Q5377196) (← links)
- Statistical Methods for Regular Monitoring Data (Q5490613) (← links)
- Spatio-temporal variograms and covariance models (Q5697198) (← links)
- Modeling Nonstationarity in Space and Time (Q6079971) (← links)
- Modeling Temporally Evolving and Spatially Globally Dependent Data (Q6086581) (← links)
- Geostatistical Methods for Disease Mapping and Visualisation Using Data from Spatio‐temporally Referenced Prevalence Surveys (Q6086602) (← links)
- On Some Characteristics of Gaussian Covariance Functions (Q6088250) (← links)
- Spatio-temporal generalized complex covariance models based on convolution (Q6115523) (← links)
- A new construction of covariance functions for Gaussian random fields (Q6123502) (← links)
- Bayesian modeling of discrete-time point-referenced spatio-temporal data (Q6149602) (← links)
- Covariance models for multivariate random fields resulting from pseudo cross-variograms (Q6168118) (← links)
- A general procedure for selecting a class of fully symmetric space‐time covariance functions (Q6179628) (← links)
- Space-time covariance models on networks (Q6200886) (← links)
- Integrated nested Laplace approximations for large-scale spatiotemporal Bayesian modeling (Q6575345) (← links)
- Separable spatio-temporal kriging for fast virtual sensing (Q6580743) (← links)
- A diffusion-based spatio-temporal extension of Gaussian Matérn fields (Q6583113) (← links)
- 30 years of space-time covariance functions (Q6602109) (← links)
- Regularity theory for a new class of fractional parabolic stochastic evolution equations (Q6606155) (← links)
