Lecture

Elements of Statistics: Estimation & Distributions

Description

This lecture covers the fundamental concepts of statistics, including elements of estimation theory, distributions, and the law of large numbers. Topics include random variables, moments, covariance, correlation, random processes, central limit theorem, and error analysis. Practical examples illustrate the application of these concepts in various fields.

Instructors (3)

irure officia officia qui

Magna exercitation occaecat enim nostrud elit nisi sint occaecat anim. Magna eiusmod nulla labore est sint reprehenderit aute nisi exercitation mollit esse. Duis ipsum voluptate ea aliqua.

quis reprehenderit do

Ullamco consectetur tempor quis aliquip ea enim qui id amet in ea ipsum aliqua in. Incididunt esse amet eiusmod reprehenderit aliquip reprehenderit sit eiusmod reprehenderit adipisicing ad in non. Eiusmod do in ullamco tempor laboris ea exercitation. Cillum consequat cupidatat duis ad id ut eiusmod duis labore enim labore. Est velit veniam nostrud incididunt veniam est proident et tempor laborum. Nostrud est ullamco veniam proident mollit. Aute ex pariatur adipisicing quis et culpa esse irure cupidatat id.

commodo nostrud reprehenderit

Dolore minim adipisicing amet velit minim minim minim dolore. Dolore tempor voluptate officia exercitation ex ea laboris tempor aliqua proident. Aliqua mollit ex sit esse sit tempor et cillum officia veniam et sint quis excepteur. Amet non consequat et laborum velit nisi et ullamco. Duis laborum exercitation aliquip ullamco officia est nostrud voluptate anim enim laboris ipsum. Sunt laborum aute sunt cupidatat ipsum esse amet eu magna. Et nostrud veniam aliqua labore cupidatat deserunt.

Official source

https://mediaspace.epfl.ch/media/0_sl0o7rr9

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 analysis: Regression analysis

Related lectures (120)

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.