A three-step local smoothing approach for estimating the mean and covariance functions of spatio-temporal data
type: Item
instance of: scholarly article
title: A three-step local smoothing approach for estimating the mean and covariance functions of spatio-temporal data
author: Kai Yang
author: Peihua Qiu
published in: Annals of the Institute of Statistical Mathematics
publication date: 2022-02-14T00:00:00Z
Mathematics Subject Classification ID: 62-XX
zbMATH DE Number: 7473254
zbMATH Keywords: bandwidth selection
zbMATH Keywords: consistency
zbMATH Keywords: covariance estimation
zbMATH Keywords: functional data analysis
zbMATH Keywords: local smoothing
zbMATH Keywords: spatio-temporal data
describes a project that uses: SpatioTemporal
MaRDI profile type: Publication
full work available at URL: s10463-021-00787-2
OpenAlex ID: W3136932513
cites work: Q5396664
cites work: Multivariate spatio-temporal models for high-dimensional areal data with application to longitudinal employer-household dynamics
cites work: Nonparametric estimation of spatial and space-time covariance function
cites work: Classes of Nonseparable, Spatio-Temporal Stationary Covariance Functions
cites work: Q3058567
cites work: Fitting time series models to nonstationary processes
cites work: Nonseparable dynamic nearest neighbor Gaussian process models for large spatio-temporal data with an application to particulate matter analysis
cites work: Spatial and spatio-temporal log-Gaussian Cox processes: extending the geostatistical paradigm
cites work: Non-Gaussian spatiotemporal modelling through scale mixing
cites work: On bandwidth choice in nonparametric regression with both short- and long-range dependent errors
cites work: Computing a nearest symmetric positive semidefinite matrix
cites work: Longitudinal data analysis using generalized linear models
cites work: Log Gaussian Cox Processes
cites work: Nonparametric regression with correlated errors.
cites work: Image Processing and Jump Regression Analysis
cites work: Modeling Nonstationarity in Space and Time
cites work: Dynamic models for spatiotemporal data
cites work: Nonparametric estimation of a periodic sequence in the presence of a smooth trend
cites work: A general science-based framework for dynamical spatio-temporal models
DOI: 10.1007/S10463-021-00787-2
Recommended article: A spectral approach to estimation and smoothing of continuous spatial processes
Recommended article: Local Linear Estimation for Spatiotemporal Models Based on Least Absolute Deviation
Recommended article: Nonparametric estimation of spatial and space-time covariance function
Recommended article: New classes of covariance and spectral density functions for spatio-temporal modelling
Recommended article: Local linear estimation for spatial random processes with stochastic trend and stationary noise
Recommended article: A regression approach for estimating the parameters of the covariance function of a stationary spatial random process
Recommended article: Non-parametric smoothing of spatio-temporal point processes
Recommended article: Local approximation of variograms by covariance functions
Recommended article: Deux méthodes d'estimation pour les paramètres de processus moyenne mobile spatiaux
Recommended article: Spatio-temporal variograms and covariance models
description: scientific article; zbMATH DE number 7473254