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06/07/2023
Improving Survey Inference in Two-phase Designs Using Bayesian Machine Learning
The two-phase sampling design is a cost-effective sampling strategy that...
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10/31/2022
Variable Selection for Multiply-imputed Data: A Bayesian Framework
Multiple imputation is a widely used technique to handle missing data in...
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09/05/2022
Using leave-one-out cross-validation (LOO) in a multilevel regression and poststratification (MRP) workflow: A cautionary tale
In recent decades, multilevel regression and poststratification (MRP) ha...
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09/15/2021
Bivariate Hierarchical Bayesian Model for Combining Summary Measures and their Uncertainties from Multiple Sources
It is often of interest to combine available estimates of a similar quan...
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04/12/2021
Inference from Non-Random Samples Using Bayesian Machine Learning
We consider inference from non-random samples in data-rich settings wher...
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03/20/2021