Lecture

Discrete Random Variables: Functions and Distributions

Description

This lecture covers the definition of probability mass function for discrete random variables, including key properties such as non-negativity and total probability. It also introduces the binomial random variable and its mass function, along with the concepts of geometric and negative binomial distributions. The lecture further explores alternative forms of negative binomial distribution and discusses uniform, hypergeometric, and Poisson distributions. The importance of expectation in discrete random variables is highlighted, along with examples of calculating expectations for different distributions.

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.

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.