{"id":16272885,"url":"https://github.com/robitalec/statistical-rethinking-colearning-2024","last_synced_at":"2025-07-12T23:35:59.043Z","repository":{"id":217911703,"uuid":"745110816","full_name":"robitalec/statistical-rethinking-colearning-2024","owner":"robitalec","description":"Statistical Rethinking colearning 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Statistical Rethinking colearning 2024\n\nThird round of Statistical Rethinking colearning\n\nPrevious:\n\n- [2023 Statistical Rethinking colearning](https://robitalec.github.io/statistical-rethinking-colearning-2023/)\n- [2022 Statistical Rethinking colearning](https://github.com/robitalec/statistical-rethinking-colearning-2022)\n- [2019 Statistical Rethinking solo-learning](https://github.com/robitalec/statistical-rethinking)\n\n\n## Schedule\n\n### Lectures\n\n| Meeting date | Reading | Lectures |\n| -------------- | ------------- | ---------------------- |\n| 25 January  | Chapters 1, 2 and 3 | [1] \u003c[Science Before Statistics](https://www.youtube.com/watch?v=FdnMWdICdRs\u0026list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus\u0026index=1)\u003e \u003c[Slides](https://speakerdeck.com/rmcelreath/statistical-rethinking-2023-lecture-01)\u003e \u003cbr\u003e [2] \u003c[Garden of Forking Data](https://www.youtube.com/watch?v=R1vcdhPBlXA\u0026list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus\u0026index=2)\u003e \u003c[Slides](https://speakerdeck.com/rmcelreath/statistical-rethinking-2023-lecture-02)\u003e\n| 08 February | Chapter 4 | [3] \u003c[Geocentric Models](https://www.youtube.com/watch?v=tNOu-SEacNU\u0026list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus\u0026index=3)\u003e \u003c[Slides](https://speakerdeck.com/rmcelreath/statistical-rethinking-2023-lecture-03)\u003e \u003cbr\u003e [4] \u003c[Categories and Curves](https://www.youtube.com/watch?v=F0N4b7K_iYQ\u0026list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus\u0026index=4)\u003e \u003c[Slides](https://speakerdeck.com/rmcelreath/statistical-rethinking-2023-lecture-04)\u003e\n| 22 February | Chapters 5 and 6 |  [5] \u003c[Elemental Confounds](https://www.youtube.com/watch?v=mBEA7PKDmiY\u0026list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus\u0026index=5)\u003e \u003c[Slides](https://speakerdeck.com/rmcelreath/statistical-rethinking-2023-lecture-05)\u003e \u003cbr\u003e [6] \u003c[Good and Bad Controls](https://www.youtube.com/watch?v=uanZZLlzKHw\u0026list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus\u0026index=6)\u003e \u003c[Slides](https://speakerdeck.com/rmcelreath/statistical-rethinking-2023-lecture-06)\u003e\n| 07 March | Chapters 7,8,9 | [7] \u003c[Overfitting](https://www.youtube.com/watch?v=1VgYIsANQck\u0026list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus\u0026index=7)\u003e \u003c[Slides](https://speakerdeck.com/rmcelreath/statistical-rethinking-2023-lecture-07)\u003e \u003cbr\u003e [8] \u003c[MCMC](https://www.youtube.com/watch?v=rZk2FqX2XnY\u0026list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus\u0026index=8)\u003e \u003c[Slides](https://speakerdeck.com/rmcelreath/statistical-rethinking-2023-lecture-08)\u003e\n| 21 March | Chapters 10 and 11 | [9] \u003c[Modeling Events](https://www.youtube.com/watch?v=Zi6N3GLUJmw\u0026list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus\u0026index=9)\u003e \u003c[Slides](https://speakerdeck.com/rmcelreath/statistical-rethinking-2023-lecture-09)\u003e \u003cbr\u003e [10] \u003c[Counts and Confounds](https://www.youtube.com/watch?v=jokxu18egu0\u0026list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus\u0026index=10)\u003e \u003c[Slides](https://speakerdeck.com/rmcelreath/statistical-rethinking-2023-lecture-10)\u003e\n| 04 April | Chapters 11 and 12 | [11] \u003c[Ordered Categories](https://www.youtube.com/watch?v=VVQaIkom5D0\u0026list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus\u0026index=11)\u003e \u003c[Slides](https://github.com/rmcelreath/stat_rethinking_2023/raw/main/slides/Lecture_11-ord_logit.pdf)\u003e \u003cbr\u003e [12] \u003c[Multilevel Models](https://www.youtube.com/watch?v=iwVqiiXYeC4\u0026list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus\u0026index=12)\u003e \u003c[Slides](https://raw.githubusercontent.com/rmcelreath/stat_rethinking_2023/main/slides/Lecture_12-GLMM1.pdf)\u003e\n| 18 April | Chapter 13 | [13] \u003c[Multilevel Adventures](https://www.youtube.com/watch?v=sgqMkZeslxA\u0026list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus\u0026index=13)\u003e \u003c[Slides](https://raw.githubusercontent.com/rmcelreath/stat_rethinking_2023/main/slides/Lecture_13-GLMM2.pdf)\u003e \u003cbr\u003e [14] \u003c[Correlated Features](https://www.youtube.com/watch?v=Es44-Bp1aKo\u0026list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus\u0026index=14)\u003e \u003c[Slides](https://github.com/rmcelreath/stat_rethinking_2023/raw/main/slides/Lecture_14-GLMM3.pdf)\u003e\n| 02 May | Chapter 14 | [15] \u003c[Social Networks](https://www.youtube.com/watch?v=hnYhJzYAQ60\u0026list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus\u0026index=15)\u003e \u003c[Slides](https://github.com/rmcelreath/stat_rethinking_2023/raw/main/slides/Lecture_15-social_networks.pdf)\u003e \u003cbr\u003e [16] \u003c[Gaussian Processes](https://www.youtube.com/watch?v=Y2ZLt4iOrXU\u0026list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus\u0026index=16)\u003e \u003c[Slides](https://github.com/rmcelreath/stat_rethinking_2023/raw/main/slides/Lecture_16-gaussian_processes.pdf)\u003e\n| 16 May | Chapter 15 | [17] \u003c[Measurement](https://www.youtube.com/watch?v=mt9WKbQJrI4\u0026list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus\u0026index=17)\u003e \u003c[Slides](https://github.com/rmcelreath/stat_rethinking_2023/raw/main/slides/Lecture_17-measurement.pdf)\u003e \u003cbr\u003e [18] \u003c[Missing Data](https://www.youtube.com/watch?v=Oeq6GChHOzc\u0026list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus\u0026index=18)\u003e \u003c[Slides](https://github.com/rmcelreath/stat_rethinking_2023/raw/main/slides/Lecture_18-missing_data.pdf)\u003e\n| 30 May | Chapters 16 and 17 | [19] \u003c[Generalized Linear Madness](https://www.youtube.com/watch?v=zffwg0xDOgE\u0026list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus\u0026index=19)\u003e \u003c[Slides](https://github.com/rmcelreath/stat_rethinking_2023/raw/main/slides/Lecture_19-GenLinearMadness.pdf)\u003e \u003cbr\u003e [20] \u003c[Horoscopes](https://www.youtube.com/watch?v=qwF-st2NGTU\u0026list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus\u0026index=20\u0026pp=sAQB)\u003e \u003c[Slides](https://github.com/rmcelreath/stat_rethinking_2023/raw/main/slides/Lecture_20-horoscopes.pdf)\u003e\n\n\n### Homework\n\n| Meeting date | Homework | Solutions |\n|:-------------|:---------------------------|:-----------------------------|\n| 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) |\n| 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)  |\n| 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)  |\n| 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)  |\n| 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)  |\n| 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)  |\n| 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)  |\n| 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)  |\n| 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)  |\n\n\n\n## Resources\n\nAdditional material using other packages or languages\n\n* Original R: \u003chttps://github.com/rmcelreath/rethinking/\u003e\n* R + Tidyverse + ggplot2 + brms: \u003chttps://bookdown.org/content/4857/\u003e\n* Python and PyMC3: \u003chttps://github.com/pymc-devs/resources/tree/master/Rethinking_2\u003e\n* Julia and Turing: \u003chttps://github.com/StatisticalRethinkingJulia\u003e and \u003chttps://github.com/StatisticalRethinkingJulia/TuringModels.jl\u003e\n\nSee Richard's comments about these here: \u003chttps://github.com/rmcelreath/stat_rethinking_2024#coding\u003e\n\n2023 course:\n\n* Lectures: \u003chttps://github.com/rmcelreath/stat_rethinking_2023#calendar--topical-outline\u003e\n* Homework: \u003chttps://github.com/rmcelreath/stat_rethinking_2023/tree/main/homework\u003e\n\n2022 course:\n\n* Lectures: \u003chttps://github.com/rmcelreath/stat_rethinking_2022#calendar--topical-outline\u003e\n* Homework: \u003chttps://github.com/rmcelreath/stat_rethinking_2022/tree/main/homework\u003e\n\nAlso, Alec's notes and solutions of the 2019 material: \u003chttps://github.com/robitalec/statistical-rethinking\u003e and \u003chttps://www.statistical-rethinking.robitalec.ca/\u003e\n\n\n## Installation\n\nPackage specific install instructions.\n\nRethinking\n\n* [`rethinking`](https://github.com/rmcelreath/rethinking#installation)\n\nStan\n\n* [`cmdstanr`](https://mc-stan.org/cmdstanr/articles/cmdstanr.html)\n* [`RStan`](https://github.com/stan-dev/rstan/wiki/RStan-Getting-Started)\n* [`brms`](r/brms/#how-do-i-install-brms)\n\n\nTargets\n\n* [`targets`](https://github.com/ropensci/targets/#installation)\n* [`stantargets`](https://github.com/ropensci/stantargets/#installation)\n\nV8, needed for the `dagitty` package\n\n* [`V8`](https://github.com/jeroen/v8#installation)\n\n\n## Community\n\nOur colearning group is sponsored by [Zulip](https://zulip.com/) (an open-source modern\nteam chat app designed to keep both live and asynchronous conversations\norganized) and we are grateful for their support. \n\nGet in touch to join the colearning group. \n\n![](https://raw.githubusercontent.com/zulip/zulip/main/static/images/logo/zulip-icon-128x128.png)\n\n\n\n### Code of Conduct\n\nPlease note that this project is released with a [Code of Conduct](CODE_OF_CONDUCT.md). \nBy participating in this project you agree to abide by its 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