[BAYES] Lesson 3: Multivariate distributions | iMooX.at
Channel: iMooX at
Date: 2021-06-02

00:03 Welcome to Unit 3
01:13 Joint distributions
01:44 Example: The strange die
02:55 Assigning probabilities
05:27 Conditional probability distribution
07:07 Marginal probability distribution
08:49 The product rule
10:54 The conditional complex
12:10 Characterizing joint distributions
14:10 Covariance - dependent variables
15:59 Central limit theorem
18:50 Takehome

This is a video of the course "Bayesian probability theory" on https://imoox.at/course/bayes22

The primary motivation for this course is to warm a broader audience to probability theory, as it is central to all scientific fields. Or as E.T. Jaynes - one of the most important researchers on probability theory of the last century - put it: "Probability is the logic of science."

The course consists of 9 units. The time required for the course was estimated at 6 hours per unit.
You can find the full playlist for the course here: https://www.youtube.com/playlist?list=PLhy2nHJciTECmGvROzdSRhH-tZZOT_dMf

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