Medical Intervention for Disease Stages Using Game Theory, Markov Chains, and Bayesian Inference | Merie | International Journal of Statistics and Probability | CCSE

In this paper, we study the progression of disease in the body, using Markov chains. We analyze the problem using game theory, and we use the results to estimate initial probabilities for our transition matrices. We also use Bayesian methods to obtain transition probabilities. We present three examples to explain how this process works