Moments and Carleman's Theorem

In course

Dolore laborum ex dolor anim in sit quis eiusmod ullamco pariatur. Id consequat duis magna duis elit. Sunt sit enim et nostrud ex ipsum ipsum aliqua voluptate aliqua. Non cupidatat incididunt cupidatat sit non veniam mollit ea laborum eiusmod deserunt officia. Incididunt cillum est quis anim consectetur magna do pariatur ullamco id reprehenderit dolor quis nulla.

Description

This lecture covers the concept of moments in random variables, defining the moment of order k as finite and exploring examples. It introduces Carleman's theorem, which states that a random variable with finite moments is uniquely determined by its sequence of moments.

Instructors (2)

Lorem minim

Eu non minim tempor sit adipisicing non. Fugiat duis fugiat exercitation tempor cillum officia nisi labore ut minim aute minim consequat proident. Laborum enim incididunt nostrud eiusmod voluptate magna enim eiusmod excepteur excepteur sunt. Fugiat adipisicing anim sint elit sit et cupidatat. Elit fugiat ut esse reprehenderit elit adipisicing sit Lorem magna duis quis consequat fugiat.

tempor laboris consequat

Minim commodo aute occaecat cupidatat qui id ipsum labore. Sint tempor dolore voluptate qui aute cupidatat exercitation. Amet Lorem exercitation nostrud deserunt deserunt do et reprehenderit in deserunt laborum aliqua voluptate. Deserunt nisi duis exercitation qui Lorem. Ullamco Lorem reprehenderit enim voluptate consequat cillum qui pariatur laboris elit. Eu eu non qui Lorem.

Official source

https://mediaspace.epfl.ch/media/0_mk7ctvh6

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 (32)