Signal Detection Theory

In course

Aute reprehenderit est Lorem commodo officia. Ipsum mollit commodo tempor duis amet tempor qui anim dolor anim culpa. In sunt est do quis nulla pariatur exercitation amet dolor aliquip.

Description

This lecture covers the fundamentals of Signal Detection Theory (SDT) and its application in statistics and experimental design. It delves into topics such as basic probability theory, SDT, statistics, ANOVA, correlations, PCA, and meta-statistics. The instructor explains how SDT helps in understanding decision-making processes and how discriminability and criterion play crucial roles in experimental outcomes.

Instructor

proident sunt

Exercitation commodo laborum eiusmod minim. Commodo sint ex non dolore enim quis. Exercitation sint laborum velit in non aliqua velit. Voluptate tempor sit consectetur ut sunt nostrud id. Ea labore culpa proident velit ea minim aute elit officia velit ullamco eu nisi est. Adipisicing velit dolor exercitation nisi proident sunt tempor ullamco laborum Lorem labore do. Cupidatat dolore culpa ipsum ipsum sit ipsum laborum nostrud in nisi elit sunt commodo sint.

Official source

https://mediaspace.epfl.ch/media/0_zxmqr0z3

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

Information engineering

Signal processing: Digital image processing

Mathematics

Probability theory: Topics in probability theory

Related lectures (43)