Pages that link to "Item:Q3103140"
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The following pages link to A Class of Convolution-Based Models for Spatio-Temporal Processes with Non-Separable Covariance Structure (Q3103140):
Displaying 28 items.
- A comparison between Markov approximations and other methods for large spatial data sets (Q333683) (← links)
- A new method to build spatio-temporal covariance functions: analysis of ozone data (Q345366) (← links)
- Characteristics of some classes of space-time covariance functions (Q394112) (← links)
- Nonparametric estimation of spatial and space-time covariance function (Q486092) (← links)
- Modeling nonstationary covariance function with convolution on sphere (Q1658744) (← links)
- Spatial-temporal nonlinear filtering based on hierarchical statistical models (Q1874750) (← links)
- Positive and negative non-separability for space-time covariance models (Q1926554) (← links)
- Semiparametric method and theory for continuously indexed spatio-temporal processes (Q2022565) (← links)
- Spatio-temporal modeling of global ozone data using convolution (Q2195527) (← links)
- Full-Scale Approximations of Spatio-Temporal Covariance Models for Large Datasets (Q3195190) (← links)
- A kernel-based spectral model for non-Gaussian spatio-temporal processes (Q3427637) (← links)
- Bayesian spatio-temporal models based on discrete convolutions (Q3526429) (← links)
- (Q3561138) (← links)
- Bayesian Estimation and Prediction for Inhomogeneous Spatiotemporal Log-Gaussian Cox Processes Using Low-Rank Models, With Application to Criminal Surveillance (Q4916442) (← links)
- Covariance Models and Simulation Algorithm for Stationary Vector Random Fields on Spheres Crossed with Euclidean Spaces (Q4958921) (← links)
- Gaussian random fields: with and without covariances (Q5080403) (← links)
- Semiparametric Modeling with Nonseparable and Nonstationary Spatio-Temporal Covariance Functions and Its Inference (Q5226632) (← links)
- Statistical Modeling for Spatio-Temporal Data From Stochastic Convection-Diffusion Processes (Q5881150) (← links)
- Spatial and spatio-temporal log-Gaussian Cox processes: extending the geostatistical paradigm (Q5965041) (← links)
- Extending the Gneiting class for modeling spatially isotropic and temporally symmetric vector random fields (Q6044189) (← links)
- Conditional intensity: A powerful tool for modelling and analysing point process data (Q6075101) (← links)
- Geostatistical Methods for Disease Mapping and Visualisation Using Data from Spatio‐temporally Referenced Prevalence Surveys (Q6086602) (← links)
- Spatio-temporal generalized complex covariance models based on convolution (Q6115523) (← 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)
- A diffusion-based spatio-temporal extension of Gaussian Matérn fields (Q6583113) (← links)
- 30 years of space-time covariance functions (Q6602109) (← links)
