https://github.com/vasishth/introbdaathpi

Code and other materials for the Introduction to Bayesian Data Analysis taught on the Open HPI platform.
https://github.com/vasishth/introbdaathpi

Last synced: 25 days ago
JSON representation

Code and other materials for the Introduction to Bayesian Data Analysis taught on the Open HPI platform.

• Host: GitHub
• URL: https://github.com/vasishth/introbdaathpi
• Owner: vasishth
• License: cc0-1.0
• Created: 2022-07-29T05:53:14.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2022-07-30T06:52:35.000Z (over 2 years ago)
• Last Synced: 2023-02-26T23:06:34.534Z (over 1 year ago)
• Size: 2.28 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
## Welcome to The Open HPI online course: Introduction to Bayesian Data Analysis

# The course

You can access the [Open HPI](https://open.hpi.de/) course here (link coming January 2023).

# The instructors

- [Shravan Vasishth](https://vasishth.github.io/)

- [Anna Laurinavichyute](https://annlaurin.netlify.app/)

- [Jõao Veríssimo](https://www.jverissimo.net/)

# Materials

##  Week 0 materials

## Week 1 materials

## Week 2 materials

## Week 1 materials

## Week 2 materials

# Accompanying textbook

Bruno Nicenboim, Daniel J. Schad, and Shravan Vasishth. Introduction to Bayesian Data Analysis for Cognitive Science. 2021. Under contract with Chapman and Hall/CRC Statistics in the Social and Behavioral Sciences Series.

**Read online**: [here](https://vasishth.github.io/bayescogsci/).