Recent developments on the construction of spatio-temporal covariance models
From MaRDI portal
Publication:839447
DOI10.1007/s00477-007-0154-xzbMath1172.62325OpenAlexW2059594294MaRDI QIDQ839447
Publication date: 2 September 2009
Published in: Stochastic Environmental Research and Risk Assessment (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00477-007-0154-x
Inference from spatial processes (62M30) Random fields; image analysis (62M40) Inference from stochastic processes and spectral analysis (62M15) Stochastic partial differential equations (aspects of stochastic analysis) (60H15)
Related Items (8)
Temperature prediction based on a space–time regression-kriging model ⋮ Unnamed Item ⋮ Covariance models for multivariate random fields resulting from pseudo cross-variograms ⋮ Fractal and smoothness properties of space-time Gaussian models ⋮ Some covariance models based on normal scale mixtures ⋮ On a class of space-time intrinsic random functions ⋮ Spatial and spatio-temporal log-Gaussian Cox processes: extending the geostatistical paradigm ⋮ Long-term time-dependent stochastic modelling of extreme waves
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Semiparametric spatio-temporal covariance models with the ARMA temporal margin
- Correlation theory of stationary and related random functions. Volume I: Basic results
- A three-dimensional unilateral autoregressive lattice process
- Spatio-temporal stationary covariance models
- Families of spatio-temporal stationary covariance models.
- Spatial autoregression and related spatio-temporal models.
- Nonseparable space-time covariance models: Some parametric families
- Spatio-temporal covariance functions generated by mixtures
- Dynamic Models for Spatiotemporal Data
- Stationary space-time Gaussian fields and their time autoregressive representation
- MODELS FOR TWO-DIMENSIONAL STATIONARY STOCHASTIC PROCESSES
- ON THE VARIATION OF YIELD VARIANCE WITH PLOT SIZE
- Characterization and estimation of two-dimensional ARMA models
- Interpolation of nonstationary air pollution processes: a spatial spectral approach
- COVARIANCE MODELS FOR LATTICE DATA
- On a class of random field models which allows long range dependence
- A general class of models for stationary two-dimensional random processes
- The intrinsic random functions and their applications
- The statistical analysis of space-time point processes
- A clustered spatial-temporal model of rainfall
- An Approach to Statistical Spatial-Temporal Modeling of Meteorological Fields
- Spatio-temporal Modelling of Weeds by Shot-noiseG Cox processes
- Spatiotemporal Hierarchical Bayesian Modeling Tropical Ocean Surface Winds
- Nonseparable, Stationary Covariance Functions for Space–Time Data
- Directional Rates of Change Under Spatial Process Models
- Blur-generated non-separable space–time models
- Classes of Nonseparable, Spatio-Temporal Stationary Covariance Functions
- Spectral methods for nonstationary spatial processes
- Fractional random fields associated with stochastic fractional heat equations
- Fractional Generalized Random Fields on Bounded Domains
- FRACTIONAL RANDOM FIELDS ON DOMAINS WITH FRACTAL BOUNDARY
- A generalized spatial-temporal model of rainfall based on a clustered point process
- A dimension-reduced approach to space-time Kalman filtering
- Characterization of space-time focusing in time-reversed random fields
- Linear combinations of space-time covariance functions and variograms
- Topographic correlation, power-law covariance functions, and diffusion
- Space–Time Covariance Functions
- ON STATIONARY PROCESSES IN THE PLANE
- Moving averages for Gaussian simulation in two and three dimensions
- Geostatistical space-time models: a review
- Stochastic fractional-order differential models with fractal boundary conditions
This page was built for publication: Recent developments on the construction of spatio-temporal covariance models
