Lecture

Extreme Values Detection

Description

This lecture covers methods to identify observations falling outside general patterns, handling surprising data points, and statistical procedures for outlier detection. It discusses tests of discordancy, hypothesis testing frameworks, and robust estimators for mean and standard deviation.

Instructor

consequat sunt

Culpa ea officia culpa aliqua aute officia ex reprehenderit do magna minim. Laboris qui dolor id laborum ut ut duis. Ex reprehenderit aliquip exercitation ex fugiat occaecat ut non duis.

Official source

https://mediaspace.epfl.ch/media/0_skqe74ec

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 (43)

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.