Bayesian Statistics and Bayesian Cognitive Modeling (BayesCog), Part 1
UKE, Hamburg (hybrid), 2023
Dr. Lei Zhang, University of Birmingham, UK
Materials from Part 2 can be found here.
Teaching materials for my BayesCog workshop, Part 1.
Oct. 2023:
- Updated some recent literature and materials
May 2023:
- 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
| 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 |
For bug reports, please contact Lei Zhang (l.zhang.13@bham.ac.uk, or @lei_zhang_lz).
Thanks to Markdown Cheatsheet and shields.io.
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.
