Lecture

Applied Probability & Stochastic Processes

Description

This lecture covers the fundamental concepts of applied probability and stochastic processes, focusing on topics such as transition probability matrices, Markov chains, and characteristic polynomials. The instructor explains the n-step transition probability matrix, eigenvalues, and linear combinations of matrices. The lecture also delves into communication classes, recurrent and transient states, and the Cayley-Hamilton theorem. Various exercises explore random walks, invariant distributions, and expected return times in different scenarios.

About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.