Parameter estimation of stochastic differential equation : Bayesian regression by Abd.Rahman, Haliza, Bahar, Arifah, Rosli, Norhayati, Md. Salleh, Madihah

“…Regression spline with Bayesian approach is considered in the first step of a two-step method in estimating the structural parameters for stochastic differential equation (SDE). The selection of knot and order of spline can be done heuristically based on the scatter plot. …”

Parameter estimation of the stochastic model for oral cancer in response to thymoquinone (TQ) as anticancer therapeutics by Tabassum, Shabana, Rosli, Norhayati, Jauhari Arief, Solachuddin

“…This article models the decelerating of the oral cancer growth by using a linear stochastic differential equation (SDEs). The Markov Chain Monte Carlo (MCMC) method used to estimate model parameters for 100, 500,1000 and 2000 simulations. …”
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Performance of Euler-Maruyama, 2-Stage SRK and 4-Stage SRK in approximating the strong solution of stochastic model by Rosli, Norhayati, Bahar, Arifah, Su Hoe, Yeak, Abdul Rahman, Haliza, Md. Salleh, Madihah

“…Stochastic differential equations play a prominent role in many application areas including finance, biology and epidemiology. …”

Stochastic model of gelatinised sago starch to solvent production by c. acetobutylicum P262 by Rosli, Norhayati, Bahar, Arifah, Yeak Su, Hoe, Abd.Rahman, Haliza, Mohd Aziz, Mohd Khairul Bazli, Md.Salleh, Madihah

“…In order to describe the system embedded with the above effect, the system is modelled using stochastic differential equations (SDEs). This work is carried out to model the growth of C. acetobutylicum P262 in batch fermentation and solvent production using SDE. …”

Stochastic model of gelatinised sago starch to solvent production by C. acetobutylicum P262 by Bahar, Arifah, Rosli, Norhayati, Yeak, Su Hoe, Abd. Rahman, Haliza, Mohd. Aziz, Mohd. Khairul Bazli, Md. Salleh, Madihah

“…In order to describe the system embedded with the above effect, the system is modelled using stochastic differential equations (SDEs). This work is carried out to model the growth of C. acetobutylicum P262 in batch fermentation and solvent production using SDE. …”
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Parameter estimation of Stochastic Logistic Model : Levenberg-Marquardt Method by Abd. Rahman, Haliza, Bahar, Arifah, Mohd. Aziz, Mohd. Khairul Bazli, Rosli, Norhayati, Salleh, Madihah, Weber, Gerhard-Wilhelm

“…The solution of the deterministic models has been approximated using Fourth Order Runge-Kutta and for the solution of the stochastic differential equations, Milstein numerical scheme has been used. …”
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