Statistical Rethinking colearning 2023

Second round of Statistical Rethinking colearning, this time with 2023 lectures and homework.

The first round of Statistical Rethinking colearning (2022) is available here.

Schedule

Lectures

Meeting date Reading Lectures
26 January Chapters 1, 2 and 3 [1] <Science Before Statistics> <Slides>
[2] <Garden of Forking Data> <Slides>
09 February Chapter 4 [3] <Geocentric Models> <Slides>
[4] <Categories and Curves> <Slides>
23 February Chapters 5 and 6 [5] <Elemental Confounds> <Slides>
[6] <Good and Bad Controls> <Slides>
09 March Chapters 7 and 8 [7] <Overfitting> <Slides>
[8] <MCMC> <Slides>
23 March Chapters 9, 10 and 11 [9] <Modeling Events> <Slides>
[10] <Counts and Confounds> <Slides>
06 April Chapters 11 and 12 [11] <Ordered Categories> <Slides>
[12] <Multilevel Models> <Slides>
20 April Chapter 13 [13] <Multilevel Adventures> <Slides>
[14] <Correlated Features> <Slides>
04 May Chapter 15 [17] <Measurement> <Slides>
[18] <Missing Data> <Slides>
18 May Chapters 16 and 17 [19] <Generalized Linear Madness> <Slides>
[20] <Horoscopes> <Slides>

Homework

Meeting date Homework Solutions
2 February Homework 1 Solutions
16 February Homework 2 Solutions
2 March Homework 3 Solutions
16 March Homework 4 Solutions
30 March Homework 5 Solutions
13 April Homework 6 Solutions
27 April Catch up week

Participant notes and homework solutions

Resources

Additional material using other packages or languages

  • Original R: https://github.com/rmcelreath/rethinking/
  • R + Tidyverse + ggplot2 + brms: https://bookdown.org/content/4857/
  • Python and PyMC3: Python/PyMC3
  • Julia and Turing: https://github.com/StatisticalRethinkingJulia and https://github.com/StatisticalRethinkingJulia/TuringModels.jl

See Richard’s comments about these here: https://github.com/rmcelreath/stat_rethinking_2023#coding

2022 colearning:

  • Lectures: https://github.com/rmcelreath/stat_rethinking_2022#calendar–topical-outline
  • Homework: https://github.com/rmcelreath/stat_rethinking_2022/tree/main/homework

Also, Alec’s notes and solutions of the 2019 material: https://github.com/robitalec/statistical-rethinking and https://www.statistical-rethinking.robitalec.ca/

Installation

Package specific install directions. We’ll update these as we go!

Rethinking

Stan

Targets

V8, needed for the dagitty package

Code of Conduct

Please note that this project is released with a Code of Conduct. By participating in this project you agree to abide by its terms.