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https://github.com/robitalec/statistical-rethinking-colearning-2024

Statistical Rethinking colearning 2024
https://github.com/robitalec/statistical-rethinking-colearning-2024

bayesian brms causal-inference dags r stan statistical-rethinking

Last synced: 12 days ago
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Statistical Rethinking colearning 2024

Host: GitHub
URL: https://github.com/robitalec/statistical-rethinking-colearning-2024
Owner: robitalec
License: gpl-3.0
Created: 2024-01-18T17:01:05.000Z (12 months ago)
Default Branch: main
Last Pushed: 2024-04-11T14:54:40.000Z (9 months ago)
Last Synced: 2024-04-12T21:33:41.721Z (9 months ago)
Topics: bayesian, brms, causal-inference, dags, r, stan, statistical-rethinking
Language: R
Homepage: https://robitalec.github.io/statistical-rethinking-colearning-2024/
Size: 23.5 MB
Stars: 0
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE.md
- Code of conduct: CODE_OF_CONDUCT.md

Awesome Lists containing this project

README

        # Statistical Rethinking colearning 2024

Third round of Statistical Rethinking colearning

Previous:

- [2023 Statistical Rethinking colearning](https://robitalec.github.io/statistical-rethinking-colearning-2023/)

- [2022 Statistical Rethinking colearning](https://github.com/robitalec/statistical-rethinking-colearning-2022)

- [2019 Statistical Rethinking solo-learning](https://github.com/robitalec/statistical-rethinking)

## Schedule

### Lectures

| Meeting date | Reading | Lectures |

| -------------- | ------------- | ---------------------- |

| 25 January  | Chapters 1, 2 and 3 | [1] <[Science Before Statistics](https://www.youtube.com/watch?v=FdnMWdICdRs&list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus&index=1)> <[Slides](https://speakerdeck.com/rmcelreath/statistical-rethinking-2023-lecture-01)> 
 [2] <[Garden of Forking Data](https://www.youtube.com/watch?v=R1vcdhPBlXA&list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus&index=2)> <[Slides](https://speakerdeck.com/rmcelreath/statistical-rethinking-2023-lecture-02)>

| 08 February | Chapter 4 | [3] <[Geocentric Models](https://www.youtube.com/watch?v=tNOu-SEacNU&list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus&index=3)> <[Slides](https://speakerdeck.com/rmcelreath/statistical-rethinking-2023-lecture-03)> 
 [4] <[Categories and Curves](https://www.youtube.com/watch?v=F0N4b7K_iYQ&list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus&index=4)> <[Slides](https://speakerdeck.com/rmcelreath/statistical-rethinking-2023-lecture-04)>

| 22 February | Chapters 5 and 6 |  [5] <[Elemental Confounds](https://www.youtube.com/watch?v=mBEA7PKDmiY&list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus&index=5)> <[Slides](https://speakerdeck.com/rmcelreath/statistical-rethinking-2023-lecture-05)> 
 [6] <[Good and Bad Controls](https://www.youtube.com/watch?v=uanZZLlzKHw&list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus&index=6)> <[Slides](https://speakerdeck.com/rmcelreath/statistical-rethinking-2023-lecture-06)>

| 07 March | Chapters 7,8,9 | [7] <[Overfitting](https://www.youtube.com/watch?v=1VgYIsANQck&list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus&index=7)> <[Slides](https://speakerdeck.com/rmcelreath/statistical-rethinking-2023-lecture-07)> 
 [8] <[MCMC](https://www.youtube.com/watch?v=rZk2FqX2XnY&list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus&index=8)> <[Slides](https://speakerdeck.com/rmcelreath/statistical-rethinking-2023-lecture-08)>

| 21 March | Chapters 10 and 11 | [9] <[Modeling Events](https://www.youtube.com/watch?v=Zi6N3GLUJmw&list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus&index=9)> <[Slides](https://speakerdeck.com/rmcelreath/statistical-rethinking-2023-lecture-09)> 
 [10] <[Counts and Confounds](https://www.youtube.com/watch?v=jokxu18egu0&list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus&index=10)> <[Slides](https://speakerdeck.com/rmcelreath/statistical-rethinking-2023-lecture-10)>

| 04 April | Chapters 11 and 12 | [11] <[Ordered Categories](https://www.youtube.com/watch?v=VVQaIkom5D0&list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus&index=11)> <[Slides](https://github.com/rmcelreath/stat_rethinking_2023/raw/main/slides/Lecture_11-ord_logit.pdf)> 
 [12] <[Multilevel Models](https://www.youtube.com/watch?v=iwVqiiXYeC4&list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus&index=12)> <[Slides](https://raw.githubusercontent.com/rmcelreath/stat_rethinking_2023/main/slides/Lecture_12-GLMM1.pdf)>

| 18 April | Chapter 13 | [13] <[Multilevel Adventures](https://www.youtube.com/watch?v=sgqMkZeslxA&list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus&index=13)> <[Slides](https://raw.githubusercontent.com/rmcelreath/stat_rethinking_2023/main/slides/Lecture_13-GLMM2.pdf)> 
 [14] <[Correlated Features](https://www.youtube.com/watch?v=Es44-Bp1aKo&list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus&index=14)> <[Slides](https://github.com/rmcelreath/stat_rethinking_2023/raw/main/slides/Lecture_14-GLMM3.pdf)>

| 02 May | Chapter 14 | [15] <[Social Networks](https://www.youtube.com/watch?v=hnYhJzYAQ60&list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus&index=15)> <[Slides](https://github.com/rmcelreath/stat_rethinking_2023/raw/main/slides/Lecture_15-social_networks.pdf)> 
 [16] <[Gaussian Processes](https://www.youtube.com/watch?v=Y2ZLt4iOrXU&list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus&index=16)> <[Slides](https://github.com/rmcelreath/stat_rethinking_2023/raw/main/slides/Lecture_16-gaussian_processes.pdf)>

| 16 May | Chapter 15 | [17] <[Measurement](https://www.youtube.com/watch?v=mt9WKbQJrI4&list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus&index=17)> <[Slides](https://github.com/rmcelreath/stat_rethinking_2023/raw/main/slides/Lecture_17-measurement.pdf)> 
 [18] <[Missing Data](https://www.youtube.com/watch?v=Oeq6GChHOzc&list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus&index=18)> <[Slides](https://github.com/rmcelreath/stat_rethinking_2023/raw/main/slides/Lecture_18-missing_data.pdf)>

| 30 May | Chapters 16 and 17 | [19] <[Generalized Linear Madness](https://www.youtube.com/watch?v=zffwg0xDOgE&list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus&index=19)> <[Slides](https://github.com/rmcelreath/stat_rethinking_2023/raw/main/slides/Lecture_19-GenLinearMadness.pdf)> 
 [20] <[Horoscopes](https://www.youtube.com/watch?v=qwF-st2NGTU&list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus&index=20&pp=sAQB)> <[Slides](https://github.com/rmcelreath/stat_rethinking_2023/raw/main/slides/Lecture_20-horoscopes.pdf)>

### Homework

| Meeting date | Homework | Solutions |

|:-------------|:---------------------------|:-----------------------------|

| 1 February   | [Homework 1](https://github.com/rmcelreath/stat_rethinking_2024/blob/main/homework/week01.pdf) | [Solutions](https://github.com/rmcelreath/stat_rethinking_2024/blob/main/homework/week01_solutions.pdf) |

| 15 February  | [Homework 2](https://github.com/rmcelreath/stat_rethinking_2024/blob/main/homework/week02.pdf) | [Solutions](https://github.com/rmcelreath/stat_rethinking_2024/blob/main/homework/week02_solutions.pdf)  |

| 29 February  | [Homework 3](https://github.com/rmcelreath/stat_rethinking_2024/blob/main/homework/week03.pdf) | [Solutions](https://github.com/rmcelreath/stat_rethinking_2024/blob/main/homework/week03_solutions.pdf)  |

| 14 March     | [Homework 4](https://github.com/rmcelreath/stat_rethinking_2024/blob/main/homework/week04.pdf) | [Solutions](https://github.com/rmcelreath/stat_rethinking_2024/blob/main/homework/week04_solutions.pdf)  |

| 28 March     | [Homework 5](https://github.com/rmcelreath/stat_rethinking_2024/blob/main/homework/week05.pdf) | [Solutions](https://github.com/rmcelreath/stat_rethinking_2024/blob/main/homework/week05_solutions.pdf)  |

| 11 April     | [Homework 6](https://github.com/rmcelreath/stat_rethinking_2024/blob/main/homework/week06.pdf) | [Solutions](https://github.com/rmcelreath/stat_rethinking_2024/blob/main/homework/week06_solutions.pdf)  |

| 25 April     | [Homework 7](https://github.com/rmcelreath/stat_rethinking_2024/blob/main/homework/week07.pdf) | [Solutions](https://github.com/rmcelreath/stat_rethinking_2024/blob/main/homework/week07_solutions.pdf)  |

| 9 May        | [Homework 8](https://github.com/rmcelreath/stat_rethinking_2024/blob/main/homework/week08.pdf) | [Solutions](https://github.com/rmcelreath/stat_rethinking_2024/blob/main/homework/week08_solutions.pdf)  |

| 23 May       | [Homework 9](https://github.com/rmcelreath/stat_rethinking_2024/blob/main/homework/week09.pdf) | [Solutions](https://github.com/rmcelreath/stat_rethinking_2024/blob/main/homework/week09_solutions.pdf)  |

## Resources

Additional material using other packages or languages

* Original R: 

* R + Tidyverse + ggplot2 + brms: 

* Python and PyMC3: 

* Julia and Turing:  and 

See Richard's comments about these here: 

2023 course:

* Lectures: 

* Homework: 

2022 course:

* Lectures: 

* Homework: 

Also, Alec's notes and solutions of the 2019 material:  and 

## Installation

Package specific install instructions.

Rethinking

* [`rethinking`](https://github.com/rmcelreath/rethinking#installation)

Stan

* [`cmdstanr`](https://mc-stan.org/cmdstanr/articles/cmdstanr.html)

* [`RStan`](https://github.com/stan-dev/rstan/wiki/RStan-Getting-Started)

* [`brms`](r/brms/#how-do-i-install-brms)

Targets

* [`targets`](https://github.com/ropensci/targets/#installation)

* [`stantargets`](https://github.com/ropensci/stantargets/#installation)

V8, needed for the `dagitty` package

* [`V8`](https://github.com/jeroen/v8#installation)

## Community

Our colearning group is sponsored by [Zulip](https://zulip.com/) (an open-source modern

team chat app designed to keep both live and asynchronous conversations

organized) and we are grateful for their support. 

Get in touch to join the colearning group. 

![](https://raw.githubusercontent.com/zulip/zulip/main/static/images/logo/zulip-icon-128x128.png)

### Code of Conduct

Please note that this project is released with a [Code of Conduct](CODE_OF_CONDUCT.md). 

By participating in this project you agree to abide by its terms.