Identifying combinatorially symmetric Hidden Markov Models

Daniel Burgarth

doi:10.13001/1081-3810.3651

Identifying combinatorially symmetric Hidden Markov Models

Daniel Burgarth

Adran Mathemateg

Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid

3 Dyfyniadau (Scopus)

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A sufficient criterion for the unique parameter identification of combinatorially symmetric Hidden Markov Models, based on the structure of their transition matrix, is provided. If the observed states of the chain form a zero forcing set of the graph of the Markov model, then it is uniquely identifiable and an explicit reconstruction method is given.

Iaith wreiddiol	Saesneg
Rhif yr erthygl	30
Tudalennau (o-i)	393-398
Nifer y tudalennau	6
Cyfnodolyn	Electronic Journal of Linear Algebra
Cyfrol	34
Rhif cyhoeddi	1
Dynodwyr Gwrthrych Digidol (DOIs)	https://doi.org/10.13001/1081-3810.3651
Statws	Cyhoeddwyd - Awst 2018

Mynediad at Ddogfen

10.13001/1081-3810.3651

https://repository.uwyo.edu/ela/vol34/iss1/30

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Dolen barhaus

Ffeiliau eraill a chysylltiadau

Dolen i’r cyhoeddiad yn Scopus

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title = "Identifying combinatorially symmetric Hidden Markov Models",

abstract = "A sufficient criterion for the unique parameter identification of combinatorially symmetric Hidden Markov Models, based on the structure of their transition matrix, is provided. If the observed states of the chain form a zero forcing set of the graph of the Markov model, then it is uniquely identifiable and an explicit reconstruction method is given.",

keywords = "Markov chains, Parameter identification, Zero forcing",

author = "Daniel Burgarth",

year = "2018",

month = aug,

doi = "10.13001/1081-3810.3651",

language = "English",

volume = "34",

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journal = "Electronic Journal of Linear Algebra",

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AB - A sufficient criterion for the unique parameter identification of combinatorially symmetric Hidden Markov Models, based on the structure of their transition matrix, is provided. If the observed states of the chain form a zero forcing set of the graph of the Markov model, then it is uniquely identifiable and an explicit reconstruction method is given.

KW - Markov chains

KW - Parameter identification

KW - Zero forcing

UR - https://www.scopus.com/pages/publications/85055750357

U2 - 10.13001/1081-3810.3651

DO - 10.13001/1081-3810.3651

M3 - Article

VL - 34

SP - 393

EP - 398

JO - Electronic Journal of Linear Algebra

JF - Electronic Journal of Linear Algebra

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Identifying combinatorially symmetric Hidden Markov Models

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