Statistical population modelling for census support
Statistical population modelling for census support
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:
Introduction to software for Bayesian statistical modelling: R and Stan,
Simple linear regression in a Bayesian context,
Random effects to account for settlement type (e.g. urban/rural) and other types of stratification in survey data,
Quantifying and mapping uncertainties in population estimates and
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.
University of Southampton
Darin, Edith
868fa688-2567-4dbd-aa12-3dcc91f2aa8d
Leasure, Douglas
c025de11-3c61-45b0-9b19-68d1d37959cd
Tatem, Andrew
6c6de104-a5f9-46e0-bb93-a1a7c980513e
2021
Darin, Edith
868fa688-2567-4dbd-aa12-3dcc91f2aa8d
Leasure, Douglas
c025de11-3c61-45b0-9b19-68d1d37959cd
Tatem, Andrew
6c6de104-a5f9-46e0-bb93-a1a7c980513e
(2021)
Statistical population modelling for census support.
University of Southampton
[Software]
Abstract
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:
Introduction to software for Bayesian statistical modelling: R and Stan,
Simple linear regression in a Bayesian context,
Random effects to account for settlement type (e.g. urban/rural) and other types of stratification in survey data,
Quantifying and mapping uncertainties in population estimates and
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.
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More information
Published date: 2021
Additional Information:
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.
Identifiers
Local EPrints ID: 473269
URI: http://eprints.soton.ac.uk/id/eprint/473269
PURE UUID: 037cd6db-0966-4fd8-ab1d-1cdf60ae33fb
Catalogue record
Date deposited: 13 Jan 2023 17:37
Last modified: 17 Mar 2024 04:00
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Contributors
Author:
Douglas Leasure
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