Recursive Parameter Estimation and Its Convergence for Multivariate Normal Hidden Markov Inhomogeneous Models

fikri, miftahul and Abdul-Malek, Zulkurnain and Mohd Esa, Mona Riza and Supriyanto, Eko (2023) Recursive Parameter Estimation and Its Convergence for Multivariate Normal Hidden Markov Inhomogeneous Models. Malaysian Journal of Fundamental and Applied Sciences, 19 (5). ISSN 1823-626X

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Abstract

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.

Item Type: Article
Uncontrolled Keywords: Hidden Markov model inhomogeneous, Multivariat normal, Likelihood function, Expectation Maximization, Monotone convergence.
Subjects: Bidang Keilmuan > Algoritma
Bidang Keilmuan > Electrical Engineering
Jurnal
Bidang Keilmuan > Teknik Elektro
Bidang Keilmuan > Teknik Tenaga Listrik
Bidang Keilmuan > Tenaga Listrik
Divisions: Fakultas Ketenagalistrikan dan Energi Terbarukan > S1 Teknik Elektro
Depositing User: Yudha Formanto
Date Deposited: 16 Dec 2025 08:22
Last Modified: 16 Dec 2025 08:22
URI: https://repository.itpln.ac.id/id/eprint/4651

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