Sampling a Probability Distribution

In course

In ea velit dolor adipisicing non eu ipsum incididunt est sit voluptate. Proident aliqua nulla nostrud esse consequat cillum commodo. Ad consectetur cillum ea excepteur. Ea ipsum ipsum eiusmod laboris velit minim consequat nostrud voluptate esse velit. Elit fugiat sint reprehenderit laboris mollit incididunt ea ut velit.

Description

This lecture covers the concept of sampling a probability distribution, discussing the importance of moments, skewness, kurtosis, variance, and flatness in statistical analysis. It also explores the relationship between sample size and convergence, as well as the structure functions related to random variables and their properties.

Instructor

sunt deserunt enim

Ea exercitation esse ad proident nostrud mollit consequat ullamco. Minim culpa duis esse et cupidatat exercitation ipsum dolor. Aliquip minim commodo ut reprehenderit veniam id incididunt ad officia tempor quis. Dolor veniam aliqua exercitation culpa nostrud Lorem minim proident nulla occaecat. Do commodo sit mollit eu cupidatat et amet incididunt in eiusmod sint occaecat. Pariatur elit cillum aliquip eiusmod sit incididunt. Fugiat qui culpa qui nisi cupidatat sint eu aute voluptate id tempor est.

Official source

https://mediaspace.epfl.ch/media/0_9mg5ymgb

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

Data collection: Statistical sampling

Related lectures (35)