An invariance principle for estimating the correlation function of a homogeneous random field

DOI10.1007/BF01089755zbMath0458.62077OpenAlexW2061015667MaRDI QIDQ1151706

Alexander V. Ivanov, Nikolai N. Leonenko

Publication date: 1981

Published in: Ukrainian Mathematical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf01089755

zbMATH Keywords

invariance principlehomogeneous random fieldestimating spectral densityGaussian fitting

Mathematics Subject Classification ID

Random fields (60G60) Nonparametric estimation (62G05) Non-Markovian processes: estimation (62M09) Convergence of probability measures (60B10) Functional limit theorems; invariance principles (60F17)

Cites Work

• On the Problem of the Equivalence of Probability Measures Corresponding to Stationary Gaussian Processes
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: An invariance principle for estimating the correlation function of a homogeneous random field