International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 45

India | Mathematics | Volume 14 Issue 2, February 2025 | Pages: 1653 - 1659


Stochastic Processes for finding Prediction of Weight Status and their Predictive Lipid Makers using α - Brownian Motion

Dr. N. Umamaheswari, R. Guna Sundhari

Abstract: The study aims to forecast an individual's weight category e.g., underweight, normal, overweight, obese. A generalization of Brownian motion, allowing for more complex and realistic modelling of dynamic systems. Computational experiments on the presented methods are reported.

Keywords: Brownian Motion, It's Formula: The Essence, The Girsanov Theorem, Gartner - Ellis Theorem, ?-Brownian Motion, Large Deviation for Energy, Sharp Large Deviation for Energy (SLDE), High-Density Lipoprotein (HDL), Low-Density Lipoprotein (LDL)



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R Anbalagan Rating: 10/10 😊
2025-03-01
This is a very valuable resource for people working within mathematics and that publish on stochastic processes.
K.b.abirami Rating: 10/10 😊
2025-03-01
This article very helpful to us to predict our weight.
Jaya Lakshmi Rating: 10/10 😊
2025-03-01
This article effectively explores the use of stochastic processes for weight prediction. It provides a solid mathematical foundation and discusses practical applications, making it useful for research
Anbalagan Rajan Rating: 10/10 😊
2025-03-01
The work offers a solid theoretical basis for employing stochastic models to forecast weight status. But it doesnt close the gap between theoretical forecasts and practical implementations.

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