The paper defines the normal-with-optional-shrinkage (NOS) data model class, which combines survey data from multiple sources with source-specific error variances and horseshoe shrinkage for outliers, and illustrates it on national family planning estimates.
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Temporal Models for Demographic and Global Health Outcomes in Multiple Populations: Introducing the Normal-with-Optional-Shrinkage Data Model Class
The paper defines the normal-with-optional-shrinkage (NOS) data model class, which combines survey data from multiple sources with source-specific error variances and horseshoe shrinkage for outliers, and illustrates it on national family planning estimates.