Lecture

Advanced Probability

In course

Mollit exercitation occaecat culpa amet ipsum labore tempor consequat dolore do. Sint in aliquip aliqua excepteur labore voluptate elit culpa aliquip officia ipsum. Id amet sit dolor cupidatat sint non. Et consequat nisi culpa amet aute culpa culpa amet duis commodo enim laboris. Laboris voluptate mollit culpa cupidatat. Sunt dolor consequat et deserunt qui quis ea voluptate culpa dolore et.

Description

This lecture covers advanced topics in probability theory, including Markov's and Chebyshev's inequalities, Bernoulli trials, binomial distribution, and geometric distribution. Examples are provided to illustrate the concepts and calculations involved in determining probabilities and expectations.

Official source

https://mediaspace.epfl.ch/media/0_xpum3kd2

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 (28)

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.