v1.0.0

The bottom-up-tutorial repo provides a series of material about Bayesian statistics for population modelling and 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).

Suggested citation

Darin E, Leasure DR, Tatem AJ. 2021. Statistical population modelling for census support. WorldPop, University of Southampton