Lecture

Poisson Process: Properties

Description

This lecture covers the properties of Poisson processes, including the inter-arrival time, counting process, and stochastic models for communications. It discusses the probability of having m arrivals in a given time interval, the exponential distribution, and the Erlang distribution.

This video is available exclusively on Mediaspace for a restricted audience. Please log in to MediaSpace to access it if you have the necessary permissions.

Watch on Mediaspace

Instructor

sint enim

Cillum irure excepteur non exercitation duis esse. Ex fugiat qui exercitation occaecat nisi eiusmod non aute enim excepteur. Anim aute dolor officia dolor quis elit incididunt eu cillum ex.

Official source

https://mediaspace.epfl.ch/media/0_ana2l1hj

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.

Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics

Related lectures (35)

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.