Giter Club home page Giter Club logo

bottom-up-tutorial's Introduction

Statistical population modelling for census support

DOI

This github repo contains the raw teaching materials for the Statistical Population Modelling for Census Support workshop, funded by the United Nations Population Fund. It has been developed by the WorldPop Research Group, University of Southampton.

The repo consists in a series of tutorials in Bayesian statistics for population modelling with hands-on experience. It includes example code and other resources designed to expedite the learning curve.

The key concepts that are covered in the tutorial series include:

  1. Introduction to software for Bayesian statistical modelling:  R and Stan,
  2. Simple linear regression in a Bayesian context,
  3. Random effects to account for settlement type (e.g. urban/rural) and other types of stratification in survey data,
  4. Quantifying and mapping uncertainties in population estimates and
  5. Diagnostics to evaluate model performance (e.g. cross-validation).

It has been first taught to the Brazilian Stats Office, Instituto Brasileiro de Geografia e Estatística (IBGE), in October 2021.

Tutorials outline

Folder content

The relevant materials are in the tutorials folder.

Each tutorial has its dedicated folder that contains:

  • Tutorial material
    • The R code
    • The stan code
  • Background files
    • The R markdown code that has been used to produce the html page
    • The references.bib with references used for the tutorial
    • The html code for the website page

The data folder contains outputs of the tutorial.

Acknowledgements

The tutorials were written by Edith Darin from WorldPop, University of Southampton and Douglas Leasure from Leverhulme Centre for Demographic Science, University of Oxford, with supervision from Andrew Tatem, WorldPop, University of Southampton.

Funding for the work was provided by the United Nations Population Fund.

License

You are free to redistribute this document under the terms of a Creative Commons Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0) license.

Suggested citation

Darin E, Leasure DR, Tatem AJ. 2021. Statistical population modelling for census support. WorldPop, University of Southampton, https://wpgp.github.io/bottom-up-tutorial/, doi:10.5281/zenodo.5572490



alt alt

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 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. 📊📈🎉

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 ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.