Lecture

Conditional Probability Distributions

In course

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Description

This lecture covers the concept of conditional probability distributions, where the function fx(x | B) is defined as the probability of X = x given event B. The lecture also introduces the conditional expected value and provides an example of calculating the conditional PMFs of X ~ Geom(p) given X > n and X ≤ n.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_m35n9c8c

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics, Statistical hypothesis testing

Mathematics

Probability theory: Topics in probability theory

Theoretical computer science

Programming language theory: High-level programming languages, Type theory

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