Lecture

Bayes' Theorem: Applications and Simulations

In course

Pariatur eu nostrud deserunt ut mollit. Commodo laboris dolore pariatur enim dolor quis nostrud velit. Reprehenderit excepteur do sint ullamco deserunt cupidatat enim nostrud eiusmod magna. Consectetur sint incididunt aliquip laborum minim eu ut esse sunt labore irure commodo eiusmod. Minim dolor consectetur cillum reprehenderit proident quis exercitation sit proident laborum nisi. Deserunt nisi eiusmod nisi pariatur ut proident ipsum.

Description

This lecture covers the application of Bayes' Theorem in practical reasoning, especially in clinical settings. It explains how to calculate conditional probabilities and discusses Bayesian inference. The instructor introduces simulations to illustrate drug-testing examples.

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

Official source

https://mediaspace.epfl.ch/media/0_1ihlhp1x

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

Mathematics

Probability theory: Topics in probability theory

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.