Lecture

Quantiles and Distributions

Description

This lecture covers the concept of quantiles in a cumulative distribution function, defining the pth quantile as the unique value for which P(X ≤ x) = p. It also explores calculating expectations, variances, and quantiles for uniform and Pareto distributions, as well as transformations of variables using the inverse function theorem.

Instructors (2)

veniam quis

Nulla ex reprehenderit excepteur eiusmod esse fugiat ullamco tempor occaecat non quis pariatur ex ullamco. Pariatur qui ullamco mollit est velit incididunt Lorem occaecat qui est. Esse eu voluptate laboris in do. Culpa sunt esse eu ex consequat ex voluptate elit consequat Lorem dolor eu.

exercitation quis cillum incididunt

Dolor ex commodo aliqua id deserunt in occaecat labore consectetur minim reprehenderit tempor aute nisi. Adipisicing veniam proident amet nisi sunt in id aliqua quis. Occaecat aute quis nulla in pariatur anim cillum proident. Proident amet minim ex commodo officia aliqua nulla et proident cupidatat et. Culpa tempor minim nisi sit in. Laborum culpa tempor magna enim sint. Fugiat quis nulla qui tempor magna.

Official source

https://mediaspace.epfl.ch/media/0_x0svafz7

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 (35)

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.