Prediction of HIV Replication in the Human Immune System using Multinomial Distribution by Bayesian Methodology

G. Meenakshi¹ , P.R. Maheswari²

Section:Research Paper, Product Type: Isroset-Journal
Vol.6 , Issue.1 , pp.46-52, Feb-2019

CrossRef-DOI:   https://doi.org/10.26438/ijsrmss/v6i1.4652

Online published on Feb 28, 2019

Copyright © G. Meenakshi, P.R. Maheswari . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
For the last four decades the treatment of the HIV infection is very complicated. There are many Statistical and Mathematical models have been developed for the HIV replication. Most of them are system of linear differential equations. But parameter estimation and analytical solution of the differential equations is not easy to obtain. So, this paper concentrated to predict the viral replication based on the determination of the four categories of CD_4^+ T cells classification as multinomial distribution and also used the Bayesian methodology with conjugate prior of Dirichlet distribution.

Key-Words / Index Term :
Bayesian Methodology,〖CD〗_4^+ T cells, Dirichlet Distribution, HIV Replication, Multinomial Distribution

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