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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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02/24/2023
Causal quartets: Different ways to attain the same average treatment effect
The average causal effect can often be best understood in the context of...
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01/19/2023
Cross-validatory model selection for Bayesian autoregressions with exogenous regressors
Bayesian cross-validation (CV) is a popular method for predictive model ...
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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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11/03/2020
Bayesian Workflow
The Bayesian approach to data analysis provides a powerful way to handle...
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09/30/2020
Using sex and gender in survey adjustment
Accounting for sex and gender characteristics is a complex, structural c...
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08/19/2019
Improving multilevel regression and poststratification with structured priors
A central theme in the field of survey statistics is estimating populati...
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06/26/2019
Know your population and know your model: Using model-based regression and poststratification to generalize findings beyond the observed sample
Psychology is all about interactions, and this has deep implications for...
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05/24/2019