Classification of Gaussian spatio-temporal data with stationary separable covariances

DOI10.15388/namc.2021.26.22359zbMath1467.62156OpenAlexW3135272093MaRDI QIDQ4993836

Marta Karaliutė, Kȩstutis Dučinskas

Publication date: 10 June 2021

Published in: Nonlinear Analysis: Modelling and Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.15388/namc.2021.26.22359

zbMATH Keywords

separable covariance functionBayes discriminant functionpowered-exponential family

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Gaussian processes (60G15) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (2)

Performance of the supervised generative classifiers of spatio-temporal areal data using various spatial autocorrelation indexes ⋮ Supervised linear classification of Gaussian spatio-temporal data

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Error rates in classification of multivariate Gaussian random field observation
• A full stage data augmentation method in deep convolutional neural network for natural image classification
• Image classification based on Markov random field models with Jeffreys divergence
• Approximation of the expected error rate in classification of the Gaussian random field observa\-tions
• Time series: Theory and methods
• Spatial variation. 2nd ed
• Interpolation of spatial data. Some theory for kriging
• Bayesian prediction of clipped Gaussian random fields.
• Testing axial symmetry and separability of lattice processes
• PAC-Bayesian framework based drop-path method for 2D discriminative convolutional network pruning
• Risks of classification of the Gaussian Markov random field observations
• Testing for separability of spatial\,-\,temporal covariance functions
• SPATIO-TEMPORAL MODELS FOR SOME DATA SETS IN CONTINUOUS SPACE AND DISCRETE TIME
• Blur-generated non-separable space–time models
• Linear Discriminant Analysis of Multivariate Spatial-Temporal Regressions

This page was built for publication: Classification of Gaussian spatio-temporal data with stationary separable covariances