Giter VIP home page Giter VIP logo

causalinference's Introduction

This is a community-edited syllabus for causal inference in political science (though it could be applied to most any social science). Thus far we have stolen from Kosuke Imai, Jas Sekhon, Matt Blackwell, Luke Keele, Holger Kern, and Jennifer Hill.

The material is organized into books and articles, with articles grouped by subject. Feel free to fork, edit and issue a pull request for modifications of these documents, additions to them, or reorganizations. Please try to maintain a consistent citation style. Due to the fact that for-profit journals are leeches, we shouldn't actualy upload the articles themselves (please look at the existing links), but please provide a link to the paper on the journal's website (or a pre-print if you can find one).

An illustration of Ronald Fisher

causalinference's People

Contributors

zmjones avatar cdcrabtree avatar danilofreire avatar carlislerainey avatar

Stargazers

Lucas Gallindo avatar

Watchers

James Cloos avatar Fernando Meireles avatar Lucas Gallindo avatar  avatar

Forkers

lgallindo

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.