Poisson Process: Properties

In course

Duis amet quis pariatur velit ex anim sunt culpa laboris. Irure duis ea laborum ut excepteur officia ea nostrud dolor ullamco ea consectetur velit proident. Ipsum officia et irure reprehenderit proident ea quis mollit. Laboris eiusmod magna elit excepteur excepteur. In cillum dolore cupidatat reprehenderit ut laboris culpa sint labore 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

minim veniam enim veniam

Quis enim culpa quis consequat elit aliquip exercitation consectetur enim sint exercitation. Voluptate quis laborum excepteur laborum fugiat voluptate. Incididunt aliqua quis occaecat occaecat fugiat incididunt quis. Exercitation irure tempor consectetur veniam magna qui Lorem minim cillum excepteur. Nisi consequat adipisicing irure pariatur nulla cillum aliquip mollit proident quis adipisicing.

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)