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Probability Theory & Discrete Stochastic Processes

Updated: Oct 22, 2018



Discrete stochastic processes are basically probabilistic systems evolving in time through random changes that occur at discrete or fixed time intervals. In contrast to the previous presentation on Brownian motion, this session will focus on building basic blocks of probability theory and work towards explaining a different class of stochastic processes using simple but insightful models.


Access link to the presentation files |Presenter: Rohan Joshi & Mandeep Arora |Mentor: Harmeet Singh Bagga

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