Bayesian Experimentation

A practical guide to Bayesian experimentation using Quarto.

Focus:

• Intuitive examples and explanations
• Hands-on simulations
• Pragmatic approach to real-world problems

Currently a collection of posts that may evolve into a comprehensive book.

Contributions welcome.

Project Structure

• *.qmd or *.ipynb - Book chapters
• _quarto.yml - Book configuration
• _book/ - Generated HTML output

Development

Environment Setup

Installing Quarto

This project requires Quarto to build and preview the book.

Installing uv

This project uses uv for Python dependency management.

Virtual Environment

The project uses Python 3.12. To set up the virtual environment with relevant packages:

uv sync

Managing Dependencies

# Add a new dependency
uv add package-name

# Add a development dependency
uv add --dev package-name

# Update dependencies
uv sync --upgrade

# Remove a dependency
uv remove package-name

Working with the Book

Add new chapters by creating .qmd or .ipynb files and updating _quarto.yml.

To render (or preview) only your file, use:

uv run quarto render filename.qmd

uv run quarto preview filename.qmd

For the whole book:

uv run quarto preview

or

uv run quarto render

If you prefer notebooks

You can work in Jupyter Notebook / Lab and then convert the file to quarto:

uv run quarto convert basics-jupyter.ipynb # converts to qmd
uv run quarto convert basics-jupyter.qmd   # converts to ipynb