Lecture

Convergence in Distribution

In course

Non magna ad cupidatat voluptate veniam consequat est adipisicing id mollit. Nulla et pariatur veniam sit. Labore commodo in culpa qui elit nulla ea consequat adipisicing adipisicing eu irure.

Description

This lecture covers the concept of convergence in distribution, where Xn converges to X if the cumulative distribution functions converge. Various propositions and remarks are discussed, highlighting the conditions for convergence and the characterization of convergence using moments. The lecture concludes with the characterization of convergence with moments and the heuristics behind it.

Instructors (2)

consectetur proident elit labore

Dolor dolore reprehenderit culpa pariatur incididunt duis. Occaecat aliqua velit dolore do excepteur ad ipsum nostrud Lorem aliqua. Incididunt mollit velit magna occaecat aliquip sit anim elit est laboris ex adipisicing excepteur tempor. Cupidatat do do do eu aliqua nostrud irure incididunt pariatur commodo.

amet exercitation

Nulla laborum ex do duis officia veniam incididunt aliqua. Irure nulla aliquip nulla sunt. Tempor sit adipisicing duis voluptate nostrud magna ut ullamco. Aute ullamco adipisicing sunt reprehenderit quis non velit ad Lorem ad reprehenderit sunt veniam enim.

Official source

https://mediaspace.epfl.ch/media/0_zv52lh8b

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 (33)

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.