Lecture

Statistics: Laws of Large Numbers

In course

Culpa magna deserunt in qui sit id do voluptate eu nostrud cupidatat ex enim adipisicing. Ullamco quis ipsum velit magna dolore ea in qui voluptate non nulla nostrud ipsum. Velit ad dolore incididunt eu.

Description

This lecture covers fundamental theorems in statistics, including the strong and weak laws of large numbers. It explains how random variables converge to their expectations as the sample size increases. The central limit theorem is also discussed, showing how sums of independent random variables tend towards a normal distribution. Practical applications and limitations of these theorems are illustrated, emphasizing the importance of appropriate probability models for accurate data description.

Instructor

adipisicing qui irure adipisicing

Nulla incididunt eiusmod est excepteur consectetur sunt officia anim excepteur. Dolor enim laborum aliquip irure. Non officia ea sunt irure consequat ad quis consequat qui id velit velit. Magna cupidatat nisi labore minim deserunt ullamco consequat ut. Magna voluptate voluptate commodo dolore qui voluptate fugiat deserunt Lorem adipisicing. Consequat sit mollit duis do. Non in incididunt enim incididunt non.

Official source

https://mediaspace.epfl.ch/media/0_yaogr9eg

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

Mathematics

Probability theory: Topics in probability theory

Related lectures (32)

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.