hpf200326 / bayescog_part1

Teaching materials for BayesCog workshop, UKE Hamburg (Part 1).

Bayesian Statistics and Bayesian Cognitive Modeling (BayesCog), Part 1
UKE, Hamburg (online), 2021
Dr. Lei Zhang

Materials from Part 2 can be found here.

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Teaching materials for my BayesCog workshop, Part 1.

What's new

May 2021:

• Added Marr's three levels at the beginning
• Updated some recent literature

Feb. 2020:

• Added more aspects of basic R
• Added examples of joint probability, conditional probability

List of Folders and their Content

Folder	Task	Model
00.cheatsheet	NA	NA
01.R_basics	NA	NA
02.binomial_globe	Globe toss	Binomial Model
03.bernoulli_coin	Coin flip	Bernoulli Model
04.regression_height	Observed weight and height	Linear regression model
05.regression_height_poly	Observed weight and height	Linear regression model

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For bug reports, please contact Lei Zhang ([email protected], or @lei_zhang_lz).

Thanks to Markdown Cheatsheet and shields.io.

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LICENSE

This license (CC BY-NC 4.0) gives you the right to re-use and adapt, as long as you note any changes you made, and provide a link to the original source. Read here for more details.