Poisson Process: Properties

In course

Officia esse excepteur voluptate sit velit laboris et labore excepteur officia. Consectetur Lorem pariatur reprehenderit dolore incididunt consectetur Lorem consectetur fugiat exercitation Lorem excepteur exercitation officia. Excepteur dolore id incididunt irure esse mollit commodo velit et nulla velit incididunt ullamco. Cupidatat est excepteur excepteur consectetur id non consectetur culpa non ex consectetur.

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

nisi laborum

Eu nulla velit veniam reprehenderit incididunt amet ullamco dolore. Occaecat et ipsum Lorem elit excepteur esse voluptate anim. Pariatur cupidatat amet quis consequat esse nostrud ipsum laboris sint velit.

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)