F79SP Stochastic Processes

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F79SP Stochastic Processes:

The fundamental aim of the course module is to introduce the students to the essential stochastic processes which are beneficial in investment, insurance, and stochastic modeling, and formulate strategies and techniques for analyzing the protracted term behavior of these procedures. Throughout the program, we will be formulating the various techniques for modeling systems or quantities which alter randomly with a period. Particularly, the development of the system is interpreted by a collection {Xt} of random variables, where Xt indicates the state of the system at time t. The program also covers the discrete-time processes explored encompass the revival processes and the Markov chains. In specific we contemplate the random walk processes, branching processes, and more common countable state-space chains. The program acquainted the students with the continuous-time processes explored encompass the Poisson and Compound Poisson processes. The students have also been introduced to the   Continuous Time Markov processes illustrating the population, queuing, and stake models.

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