Giter Site home page Giter Site logo

bdr's Introduction

Distribution regression for individual-level prediction

pew-experiment/pew_experiment.Rmd contains a basic experiment comparing simple distribution regression to group means and logistic regression using publicly available survey microdata from Pew Research (ex. https://www.people-press.org/dataset/september-2018-political-survey/). The notebook can be viewed here.

pew-experiment/bagging-analysis.Rmd contains analysis on how to create bags of outcome variables. Viewed here

kernel-mean-matching.Rmd implements basic kernel mean matching this paper by Arthur Gretton. Notebook can be viewed here

functions.R - contains the functions to perform basic distribution regression called in the notebooks

bdr's People

Contributors

vcbradley avatar

Stargazers

 avatar Harrison Zhu avatar

Watchers

James Cloos 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.