Lecture

Errors in Sampling: Correlation and Time Analysis

In course

In duis cillum duis occaecat mollit. Aliquip non nostrud deserunt est adipisicing. Commodo veniam nisi ad eu cillum culpa non id pariatur dolore mollit ipsum. Qui pariatur est ea dolore excepteur ipsum excepteur.

Description

This lecture covers errors in uncorrelated and correlated sampling, discussing how to obtain integrals as time averages, the impact of configuration-dependent quantities, and the correlation function. It also explores time translation invariance, correlation time definition, and error expressions. The concept of blocking analysis is introduced, where data is divided into blocks to estimate independent averages. The lecture concludes with a discussion on error calculations and fluctuations in block averages.

Instructor

cupidatat cupidatat elit et

Officia mollit fugiat irure dolore. Consectetur exercitation est tempor qui adipisicing labore Lorem laborum cupidatat enim ad. Cupidatat aliqua qui ex tempor consectetur anim irure.

Official source

https://mediaspace.epfl.ch/media/0_e1othdd6

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 collection: Statistical sampling

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.