Lecture

Stochastic Simulation: Markov Processes Generation

Description

This lecture covers the generation of Markov processes, focusing on transition density functions, continuous and discrete time Markov chains, Poisson processes, and the characterization of Poisson processes. It also delves into the non-homogeneous Poisson process and the general continuous-time discrete-space Markov chain.

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.

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.