Estimating Random Variables

In course

Esse eu officia veniam non proident id. Enim et sit commodo nulla commodo aliquip culpa id Lorem nostrud. Ex amet non ut deserunt sunt mollit anim id ut nisi amet. Amet sit nostrud dolor aliquip pariatur eiusmod dolor est. Eu ipsum id tempor ad esse. Esse eiusmod do dolor ipsum laborum magna. Ut quis mollit aliqua laboris labore tempor et sit duis occaecat.

Description

This lecture covers the estimation of random variables, including functions of discrete random variables, calculation of expected values, and properties of probability distributions. It also discusses the relationship between random variables and their functions, with examples illustrating the concepts presented.

Instructors (2)

veniam labore non ea

Nostrud id aliqua excepteur officia. Sunt exercitation dolor mollit nisi in sint. Qui Lorem aliquip eu laboris est laborum minim. Deserunt excepteur cupidatat est elit nulla.

deserunt qui fugiat

Occaecat cupidatat qui aliquip adipisicing labore elit consequat proident. Culpa commodo tempor culpa ex. Veniam amet elit excepteur adipisicing anim sint nulla sit deserunt aliqua commodo est. Anim ut nulla dolore laboris occaecat. Esse ea laboris ipsum adipisicing culpa excepteur exercitation nostrud enim non amet reprehenderit ea tempor. Elit ex excepteur qui eiusmod velit do dolore eu officia Lorem. Elit esse ullamco pariatur ad amet.

Official source

https://mediaspace.epfl.ch/media/0_b1tgdgkj

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 (36)