143 citations · 151 across the 4 of their papers we have counts for
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stat.ME2021
Bayesian hierarchical stacking: Some models are (somewhere) useful
Yuling Yao, Gregor Pirš, Aki Vehtari +1
Stacking is a widely used model averaging technique that asymptotically yields optimal predictions among linear averages. We show that stacking is most effective when model predict…
stat.ME2020★ 143 cited
Bayesian Workflow
Andrew Gelman, Aki Vehtari, Daniel Simpson +7
The Bayesian approach to data analysis provides a powerful way to handle uncertainty in all observations, model parameters, and model structure using probability theory. Probabilis…
stat.ME2018
Limitations of "Limitations of Bayesian leave-one-out cross-validation for model selection"
Aki Vehtari, Daniel P. Simpson, Yuling Yao +1
This article is an invited discussion of the article by Gronau and Wagenmakers (2018) that can be found at https://dx.doi.org/10.1007/s42113-018-0011-7.