Lecture

Robust Statistics: Break Points and Correlation Analysis

In course

Officia dolore sunt id mollit tempor sit cillum. Veniam veniam officia reprehenderit eiusmod cupidatat quis sit commodo dolore consequat qui consequat ut culpa. Fugiat ad ut occaecat anim dolore ipsum.

Description

This lecture covers the concept of break points in statistics, where a small fraction of contamination can completely destabilize a statistic, and the importance of resistant statistics that do not change much with disrupted data. It also delves into the correlation analysis, emphasizing that correlation does not imply causality and can be misleading. Practical examples and visual representations are used to illustrate these concepts.

Instructor

ea id aliquip laboris

Reprehenderit cupidatat ipsum deserunt consequat cillum cillum. Occaecat voluptate culpa irure aute. Velit eu cillum Lorem fugiat culpa aliquip ipsum deserunt aliquip eu. Nisi voluptate consectetur sint proident duis incididunt aliqua esse anim. Ullamco fugiat ullamco culpa est in nulla elit ullamco sit consequat tempor duis adipisicing pariatur. Deserunt qui ad ullamco sit in sint culpa occaecat labore quis.

Official source

https://mediaspace.epfl.ch/media/0_a2zkqabw

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

Data analysis: Regression analysis

Related lectures (32)

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.