The Use of Sampling Weights in Bayesian Hierarchical Models for Small Area Estimation

All this discussion of plagiarism is leaving a bad taste in my mouth (or, I guess I should say, a bad feeling in my fingers, given that I’m expressing all this on the keyboard) so I wanted to close off the workweek with something more interesting.

I happened to come across the above-titled paper by Cici Chen, Thomas Lumley, and Jon Wakefield. I haven’t had a chance to read it in detail but these people know what they’re doing and so it seems like it could be worth a look.

And here’s some related work:

– On the applied side, this paper with Yair in the American Journal of Political Science from 2013, on deep interactions with MRP. In particular, take a look at the section on Accounting for Survey Weights on p. 765. I wonder how this relates to the Chen, Lumley, and Wakefield approach.

– From the more theoretical direction, this paper to with Yajuan and Natesh, to appear in Bayesian Analysis, on Bayesian nonparametric weighted sampling inference.

I think we, as a field, are getting closer on this problem but we’re still not quite there.

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