Lectures in course MGT-484: Applied probability & stochastic processes

Covers the optimal selling strategy in a dynamic scenario to maximize profit.

Markov Chain Monte Carlo: Sampling and Convergence

Explores Markov Chain Monte Carlo for sampling high-dimensional distributions and optimizing functions using the Metropolis-Hastings algorithm.

Markov Chain Monte Carlo: Sampling High-Dimensional Distributions

Covers Markov Chain Monte Carlo for sampling high-dimensional distributions, discussing challenges, advantages, and applications like the Knapsack Problem and cryptography.