[BAYES] Lesson 8: Continuous probability distributions and invariance | iMooX.at
Channel: iMooX at
Date: 2021-05-20

00:03 Welcome to Unit 8
00:40 Continuous variables
03:57 Continuous probability rules
04:36 Transformation law
07:19 Bertrand paradox and ignorant priors
12:42 Jeffrey's prior
14:41 MaxEnt for probability densities
17:01 Lighthouse problem
18:33 Popular distributions
22:07 Benford's law
24:31 Take home


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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