The weak convergence of the likelihood ratio random fields for Markov observations
type: Item
instance of: scholarly article
title: The weak convergence of the likelihood ratio random fields for Markov observations
zbMATH Open document ID: 0427.62062
DOI: 10.1007/BF02532782
author: Yosihiko Ogata
author: Nobuo Inagaki
published in: Annals of the Institute of Statistical Mathematics
publication date: 1977-01-01T00:00:00Z
Mathematics Subject Classification ID: 62M05
Mathematics Subject Classification ID: 60G60
zbMATH DE Number: 3666028
zbMATH Keywords: weak convergence
zbMATH Keywords: likelihood ratio random fields
zbMATH Keywords: Markov observations
MaRDI profile type: Publication
cites work: Q5612973
cites work: The Lindeberg-Levy Theorem for Martingales
cites work: Q5560061
cites work: Mixing Conditions for Markov Chains
cites work: Q5822308
cites work: The weak convergence of likelihood ratio random fields and its applications
cites work: On the Assumptions Used to Prove Asymptotic Normality of Maximum Likelihood Estimates
full work available at URL: https://doi.org/10.1007/bf02532782
OpenAlex ID: W2067673496
description: scientific article; zbMATH DE number 3666028