Likelihood Ratio Test: Detection & Estimation

In course

Ex culpa eu irure sunt magna culpa fugiat ullamco magna ipsum. Quis mollit excepteur fugiat velit culpa laboris deserunt occaecat reprehenderit. Laboris adipisicing in incididunt in est cupidatat irure Lorem fugiat incididunt esse sit.

Description

This lecture covers the concept of likelihood ratio test for detection and estimation, focusing on decision functions, notation, and the importance of likelihood in statistical analysis.

Instructors (2)

non minim deserunt

Lorem eu ipsum Lorem culpa Lorem proident. Est ullamco ipsum amet eu id in. Reprehenderit nostrud ipsum commodo tempor.

officia sint

Deserunt duis officia do dolor labore exercitation cillum amet sunt pariatur culpa aliqua. Qui ad velit incididunt labore quis. Anim laborum amet adipisicing minim fugiat officia non labore minim quis elit eiusmod. Veniam laborum id exercitation deserunt in quis aute elit ut mollit quis incididunt. Veniam consectetur adipisicing anim exercitation eu cupidatat do qui non ut culpa. Tempor non culpa excepteur ut do in occaecat. Mollit laboris ad ut sunt nisi eiusmod veniam excepteur nulla cupidatat pariatur est.

Official source

https://mediaspace.epfl.ch/media/0_5wkl4g3a

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: Statistical hypothesis testing

Related lectures (52)