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[lectures](https://www.youtube.com/playlist?list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus) and \n[homework](https://github.com/rmcelreath/stat_rethinking_2023/tree/main/homework).\n\nThe first round of Statistical Rethinking colearning (2022) is available [here](https://github.com/robitalec/statistical-rethinking-colearning-2022).\n\n\n\n\n## Schedule\n\n### Lectures\n\n| Meeting date | Reading  | Lectures  |\n| :----------- | :------- | :-------- |\n| 26 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| 09 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| 23 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|  09 March    | Chapters 7 and 8      | [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|  23 March    | Chapters 9, 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|  06 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://speakerdeck.com/rmcelreath/statistical-rethinking-2023-lecture-11)\u003e \u003cbr\u003e [12] \u003c[Multilevel Models](https://www.youtube.com/watch?v=iwVqiiXYeC4\u0026list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus\u0026index=12)\u003e \u003c[Slides](https://speakerdeck.com/rmcelreath/statistical-rethinking-2023-lecture-12)\u003e         |     \n|  20 April  | Chapter 13            | [13] \u003c[Multilevel Adventures](https://www.youtube.com/watch?v=sgqMkZeslxA\u0026list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus\u0026index=13)\u003e \u003c[Slides](https://speakerdeck.com/rmcelreath/statistical-rethinking-2023-lecture-13)\u003e \u003cbr\u003e [14] \u003c[Correlated Features](https://www.youtube.com/watch?v=Es44-Bp1aKo\u0026list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus\u0026index=14)\u003e \u003c[Slides](https://speakerdeck.com/rmcelreath/statistical-rethinking-2023-lecture-14)\u003e         |     \n|  04 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| 18 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\n### Homework\n\n| Meeting date | Homework    | Solutions | \n| :----------- | :---------- | :-------- |\n| 2 February   | [Homework 1](https://github.com/rmcelreath/stat_rethinking_2023/blob/main/homework/week01.pdf) | [Solutions](https://github.com/rmcelreath/stat_rethinking_2023/blob/main/homework/week01_solutions.pdf) | \n| 16 February  | [Homework 2](https://github.com/rmcelreath/stat_rethinking_2023/blob/main/homework/week02.pdf) | [Solutions](https://github.com/rmcelreath/stat_rethinking_2023/blob/main/homework/week02_solutions.pdf) | \n| 2 March      | [Homework 3](https://github.com/rmcelreath/stat_rethinking_2023/blob/main/homework/week03.pdf)  | [Solutions](https://github.com/rmcelreath/stat_rethinking_2023/blob/main/homework/week03_solutions.pdf) |\n| 16 March     | [Homework 4](https://github.com/rmcelreath/stat_rethinking_2023/blob/main/homework/week04.pdf)  | [Solutions](https://github.com/rmcelreath/stat_rethinking_2023/blob/main/homework/week04_solutions.pdf) |\n| 30 March     | [Homework 5](https://github.com/rmcelreath/stat_rethinking_2023/blob/main/homework/week05.pdf)  | [Solutions](https://github.com/rmcelreath/stat_rethinking_2023/blob/main/homework/week05_solutions.pdf) |\n| 13 April     | [Homework 6](https://github.com/rmcelreath/stat_rethinking_2023/blob/main/homework/week06.pdf)  | [Solutions](https://github.com/rmcelreath/stat_rethinking_2023/blob/main/homework/week06_solutions.pdf) |\n| 27 April     | Catch up week | | \n\n\n## Participant notes and homework solutions\n\n- [Alec](https://github.com/robitalec/statistical-rethinking-colearning-2023) (this repo)\n- [Bella](https://github.com/icrichmond/statistical-rethinking-colearning)\n- [Christina](https://github.com/CMProkopenko/statistical-rethinking-colearning-2023)\n- [Jack](https://github.com/jghendrix/rethinking-2023)\n\n\n\n## Resources\n\nAdditional material using other packages or languages\n\n* Original R: https://github.com/rmcelreath/rethinking/\n* R + Tidyverse + ggplot2 + brms: https://bookdown.org/content/4857/\n* Python and PyMC3: Python/PyMC3\n* Julia and Turing: https://github.com/StatisticalRethinkingJulia and https://github.com/StatisticalRethinkingJulia/TuringModels.jl\n\nSee Richard's comments about these here: https://github.com/rmcelreath/stat_rethinking_2023#coding\n\n\n2022 colearning:\n\n* Lectures: https://github.com/rmcelreath/stat_rethinking_2022#calendar--topical-outline\n* Homework: https://github.com/rmcelreath/stat_rethinking_2022/tree/main/homework\n\nAlso, Alec's notes and solutions of the 2019 material: https://github.com/robitalec/statistical-rethinking and https://www.statistical-rethinking.robitalec.ca/\n\n\n\n## Installation\n\nPackage specific install directions. We'll update these as we go!\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\n\n## Code of Conduct\n\nPlease note that this project is released with a [Code of\nConduct](CODE_OF_CONDUCT.md). By participating in this project you agree to abide by its terms.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frobitalec%2Fstatistical-rethinking-colearning-2023","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frobitalec%2Fstatistical-rethinking-colearning-2023","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frobitalec%2Fstatistical-rethinking-colearning-2023/lists"}