Matching and weighting

Making the optimal beverage from the fruit life gave you

April 22, 2020 — April 22, 2020

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Figure 1

Tricks for handling non-random sampling problems to adjust for the causal graph. Common in e.g. survey data.

MRP, a.k.a. Mister P, is one method for correcting non-response bias and other such sampling nastiness. Dan Simpson explains MRP with structured priors.

See also the generalized version, RPP.

What I can do is link to my reading list of examples and explainers. Bob Carpenter’s worked example is interesting reading in this context, explaining Thomas Lumley’s post.

There are implementations also by Adam Haber using Tensorflow Probability and Lauren Kennedy and Jonah Gabry in rstanarm.