Matrix analysis of identifiability of some finite markov models

Autor:	Richard B. Millward, Coleman T. Merryman, James G. Greeno
Rok vydání:	1971
Předmět:	Continuous-time Markov chain Mathematical optimization Markov kernel Markov chain Markov renewal process Applied Mathematics Variable-order Markov model Applied mathematics Identifiability Markov property Markov model General Psychology Mathematics
Zdroj:	Psychometrika. 36:389-408
ISSN:	1860-0980 0033-3123
DOI:	10.1007/bf02291365
Popis:	Methods developed by Bernbach [1966] and Millward [1969] permit increased generality in analyses of identifiability. Matrix equations are presented that solve part of the identifiability problem for a class of Markov models. Results of several earlier analyses are shown to involve special cases of the equations developed here. And it is shown that a general four-state chain has the same parameter space as an all-or-none model if and only if its representation with an observable absorbing state is lumpable into a Markov chain with three states.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b85d74b99fe015dadf308c90bf28393f https://doi.org/10.1007/bf02291365 Zobrazit plný text záznamu Full text from SpringerLink