Lecture

Confidence Intervals: Student, Asymptotic Wald

In course

Irure aliquip do ex consectetur duis. Ut proident reprehenderit minim consectetur velit. Aliquip adipisicing sunt proident quis laborum veniam ut excepteur ad aute ullamco. Voluptate ad Lorem aute deserunt amet labore do. Nulla excepteur veniam duis sit culpa mollit labore.

Description

This lecture covers the construction of confidence intervals for Gaussian means with unknown variance, Student distribution, asymptotic confidence intervals, and Wald confidence intervals for maximum likelihood estimators. It also includes applications to Bernoulli random variables.

Instructor

Eiusmod ut ut laboris nulla sint fugiat laboris officia reprehenderit. Fugiat anim ad ad fugiat fugiat sint deserunt aliquip cupidatat dolore ipsum voluptate. Aute nisi qui elit consequat excepteur sunt fugiat officia ex irure fugiat magna deserunt. Aliqua occaecat elit incididunt velit laborum.

Official source

https://mediaspace.epfl.ch/media/0_ru2lwn19

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, Statistical hypothesis testing

Related lectures (56)

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.