Spatio-temporal generalized complex covariance models based on convolution
From MaRDI portal
Publication:6115523
DOI10.1016/j.csda.2023.107709OpenAlexW4319302959MaRDI QIDQ6115523
Publication date: 13 July 2023
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2023.107709
complex covariance classescomplex-valued random fieldsspatio-temporal covariance modelsvectorial data in space-time
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Complex-valued random fields for vectorial data: estimating and modeling aspects
- New classes of covariance and spectral density functions for spatio-temporal modelling
- Spatial variation. 2nd ed
- Correlation theory of stationary and related random functions. Volume I: Basic results
- Correlation theory of stationary and related random functions. Volume II: Supplementary notes and references
- Nonseparable space-time covariance models: Some parametric families
- Spatio-temporal covariance functions generated by mixtures
- Covariance functions and models for complex-valued random fields
- Modeling Ocean currents through complex random fields indexed in time
- A simple description of spatial-temporal processes
- A Class of Convolution-Based Models for Spatio-Temporal Processes with Non-Separable Covariance Structure
- Geostatistics
- Computationally exploitable structure of covariance matrices and generalized convariance matrices in spatial models
- Nonseparable, Stationary Covariance Functions for Space–Time Data
- Classes of Nonseparable, Spatio-Temporal Stationary Covariance Functions
- Linear combinations of space-time covariance functions and variograms
- Space–Time Covariance Functions
- Space-time analysis using a general product-sum model.
This page was built for publication: Spatio-temporal generalized complex covariance models based on convolution