Code Monkey home page Code Monkey logo

statistical-rethinking-colearning-2023's Introduction

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

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

2022 colearning:

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.

statistical-rethinking-colearning-2023's People

Contributors

icrichmond avatar robitalec avatar

Stargazers

 avatar

Watchers

 avatar

Forkers

ariliso

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.