Solution Examples - Hoff, A First Course in Bayesian Statistical Methods
(標準ベイズ統計学 演習問題 解答例)

This repository contains the Org Mode source files (.org) for the following website, which provides solution examples for the exercises in Peter Hoff’s book, A First Course in Bayesian Statistical Methods:

• Website: Answers of exercises on Hoff, A first course in Bayesian statistical methods (標準ベイズ統計学 演習問題 解答例)

This repository hosts the raw Org Mode source files used to generate the website mentioned above. It is made public so that learners of Bayesian statistics can refer to the solution derivation process and see examples of how to write technical documents and build websites using Org Mode.

• Readers of Hoff’s A First Course in Bayesian Statistical Methods (or the Japanese version, 標準ベイズ統計学).
• Individuals looking for solution examples for the exercises.
• Anyone interested in authoring documents or building websites using Org Mode.

• ~./ : Root directory containing README.org, setup.org, .dir-locals.el, etc.
• chX/ : Directory for each chapter.
  • chX/X-Y.org : Org file for each exercise solution.
  • chX/index.org : Org file for the chapter’s index page.
• css/ : Custom CSS files.
• icons/ : Icon files used in the footer, etc.
• dist/ : Directory where HTML files are generated by Org Publish (typically not included in this repository).

Contributions to this project are welcome!

• Reporting Errors: If you find errors in the solutions, typos, or bugs in the code, please report them by opening an Issue on GitHub. Please be specific about the problem number and the nature of the error.
• Suggesting Improvements: Suggestions for better solutions, clearer explanations, or website design improvements are also welcome via Issues.
• Adding Solutions: If you’d like to add solutions for unsolved exercises, please submit a Pull Request.
  • Create or edit the relevant Org file (chX/X-Y.org).
  • If including implementation code, Julia is primarily used currently, but R or Python implementations are welcome in the future. Embed the code directly within the Org file using #+BEGIN_SRC ... #+END_SRC blocks.
• Adding Implementations: Pull Requests adding R or Python implementations to existing solutions are also welcome.

When submitting a Pull Request, please clearly describe the changes you’ve made.

The content in this repository (Org files and generated website content) is licensed under the Creative Commons Attribution 4.0 International License (LICENSE).

You are free to share and adapt the material, but you must give appropriate credit (including the author’s name, title, and a link to the original work - https://hoff-exercise.kaorubb.org/).

Please see the acknowledgements section on the website for a list of contributors.