A maximum likelihood estimation framework for the exponential Differential Equation Model

Mahmoud, A.A. and Dass, S.C. and Muthuvalu, M.S. (2016) A maximum likelihood estimation framework for the exponential Differential Equation Model. In: UNSPECIFIED.

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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

In this paper we propose the maximum likelihood method of estimation for Delay Differential Equation Model governed by unknown delay and other parameters of interest. As an example we consider the Exponential Differential Equation Model. A grid based estimation framework is proposed. Our methodology estimates correctly the delay parameter as well as the initial starting value of the dynamical system based on simulation data. © 2015 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: cited By 1; Conference of International Conference on Computer, Control, Informatics and Its Applications, IC3INA 2015 ; Conference Date: 5 October 2015 Through 7 October 2015; Conference Code:118992
Uncontrolled Keywords: Differential equations; Dynamical systems; Information science; Maximum likelihood; Ordinary differential equations; Parameter estimation, Delay differential equations; Delay parameters; Differential equation model; Exponential delay; Grid-based; Maximum likelihood methods; Simulation data; Unknown delay, Maximum likelihood estimation
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 16:19
Last Modified: 09 Nov 2023 16:19
URI: https://khub.utp.edu.my/scholars/id/eprint/7261

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