Projection predictive variable selection using Stan+R
Juho Piironen, Aki Vehtari

TL;DR
This paper demonstrates how to perform projection predictive variable selection using Stan for model fitting and R for variable selection, building on previous work comparing different strategies.
Contribution
It provides a practical example of implementing projection predictive variable selection with Stan and R, illustrating the process in detail.
Findings
Effective variable selection with projection predictive framework
Integration of Stan and R for streamlined analysis
Guidance on applying the method in practice
Abstract
This document is additional material to our previous study comparing several strategies for variable subset selection. Our recommended approach was to fit the full model with all the candidate variables and best possible prior information, and perform the variable selection using the projection predictive framework. Here we give an example of performing such an analysis, using Stan for fitting the model, and R for the variable selection.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Statistical Methods and Models · Statistical Methods and Inference · Neural Networks and Applications
