Recursive parameter estimation and its convergence for multivariate normal hidden Markov inhomogeneous models

In this paper, will discussed parameter estimation and convergence analysis of multivariate normal hidden inhomogeneous Markov models. The results of this research show that by using the expectation maximization algorithm, a sequence of parameter estimators converges to a stationary point of the lik...

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Main Authors: Miftahul Fikri, Miftahul Fikri, Abdul Malek, Zulkurnain, Mohd. Esa, Mona. Riza, Eko Supriyanto, Eko Supriyanto
Format: Article
Language:English
Published: Penerbit UTM Press 2023
Subjects:
Online Access:http://eprints.utm.my/105358/1/ZulkurnainAbdulMalek2023_RecursiveParameterEstimationandItsConvergence.pdf
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author Miftahul Fikri, Miftahul Fikri
Abdul Malek, Zulkurnain
Mohd. Esa, Mona. Riza
Eko Supriyanto, Eko Supriyanto
author_facet Miftahul Fikri, Miftahul Fikri
Abdul Malek, Zulkurnain
Mohd. Esa, Mona. Riza
Eko Supriyanto, Eko Supriyanto
author_sort Miftahul Fikri, Miftahul Fikri
collection ePrints
description In this paper, will discussed parameter estimation and convergence analysis of multivariate normal hidden inhomogeneous Markov models. The results of this research show that by using the expectation maximization algorithm, a sequence of parameter estimators converges to a stationary point of the likelihood function in a monotonically increasing manner.
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spelling utm.eprints-1053582024-04-24T06:36:42Z http://eprints.utm.my/105358/ Recursive parameter estimation and its convergence for multivariate normal hidden Markov inhomogeneous models Miftahul Fikri, Miftahul Fikri Abdul Malek, Zulkurnain Mohd. Esa, Mona. Riza Eko Supriyanto, Eko Supriyanto TK Electrical engineering. Electronics Nuclear engineering In this paper, will discussed parameter estimation and convergence analysis of multivariate normal hidden inhomogeneous Markov models. The results of this research show that by using the expectation maximization algorithm, a sequence of parameter estimators converges to a stationary point of the likelihood function in a monotonically increasing manner. Penerbit UTM Press 2023-09 Article PeerReviewed application/pdf en http://eprints.utm.my/105358/1/ZulkurnainAbdulMalek2023_RecursiveParameterEstimationandItsConvergence.pdf Miftahul Fikri, Miftahul Fikri and Abdul Malek, Zulkurnain and Mohd. Esa, Mona. Riza and Eko Supriyanto, Eko Supriyanto (2023) Recursive parameter estimation and its convergence for multivariate normal hidden Markov inhomogeneous models. Malaysian Journal of Fundamental and Applied Sciences, 19 (5). pp. 840-854. ISSN 2289-599X http://dx.doi.org/10.11113/mjfas.v19n5.3041 DOI:10.11113/mjfas.v19n5.3041
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Miftahul Fikri, Miftahul Fikri
Abdul Malek, Zulkurnain
Mohd. Esa, Mona. Riza
Eko Supriyanto, Eko Supriyanto
Recursive parameter estimation and its convergence for multivariate normal hidden Markov inhomogeneous models
title Recursive parameter estimation and its convergence for multivariate normal hidden Markov inhomogeneous models
title_full Recursive parameter estimation and its convergence for multivariate normal hidden Markov inhomogeneous models
title_fullStr Recursive parameter estimation and its convergence for multivariate normal hidden Markov inhomogeneous models
title_full_unstemmed Recursive parameter estimation and its convergence for multivariate normal hidden Markov inhomogeneous models
title_short Recursive parameter estimation and its convergence for multivariate normal hidden Markov inhomogeneous models
title_sort recursive parameter estimation and its convergence for multivariate normal hidden markov inhomogeneous models
topic TK Electrical engineering. Electronics Nuclear engineering
url http://eprints.utm.my/105358/1/ZulkurnainAbdulMalek2023_RecursiveParameterEstimationandItsConvergence.pdf
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