143 citations · 190 across the 13 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
stat.ME2019★ 37 cited
Improving multilevel regression and poststratification with structured priors
Yuxiang Gao, Lauren Kennedy, Daniel Simpson +1
A central theme in the field of survey statistics is estimating population-level quantities through data coming from potentially non-representative samples of the population. Multi…
stat.AP2019★ 5 cited
Know your population and know your model: Using model-based regression and poststratification to generalize findings beyond the observed sample
Lauren Kennedy, Andrew Gelman
Psychology research focuses on interactions, and this has deep implications for inference from non-representative samples. For the goal of estimating average treatment effects, we…
stat.AP2019★ 2 cited
The experiment is just as important as the likelihood in understanding the prior: A cautionary note on robust cognitive modelling
Lauren Kennedy, Daniel Simpson, Andrew Gelman
Cognitive modelling shares many features with statistical modelling, making it seem trivial to borrow from the practices of robust Bayesian statistics to protect the practice of ro…