Git Product home page Git Product logo

prob-stats's Introduction

Probability and Statistics: a simulation-based approach

This is the source repo for the following open-access book.

  • Bob Carpenter and Brian Ward. 2022 Draft. Probability and Statistics: a simulation-based approach. Publisher TBD.

The code is released under the BSD-3 license and the text under the CC BY-ND 4.0 license.

Building the book

From the shell in the directory containing this repo.

> cd prob-stats
> quarto preview quarto-book/

The following tools are required.

  • Quarto: compile markdown to HTML, pdf
  • Python 3: scripting and integration

The following Python packages are also required.

  • cmdstanpy: interface to Stan
  • numpy: matrices, arrays, and special functions
  • pandas: data frames
  • plotnine: plotting

The original book

Thsi current draft supersedes the original draft, which includes a pre-built pdf.

prob-stats's People

Contributors

alessandro-gentilini avatar bob-carpenter avatar daniel-wells avatar jsta avatar mitzimorris avatar wardbrian avatar

Watchers

 avatar

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.