Selective and Post-Selection Inference
Inference after model selection and conformal prediction.
Selective and Post-Selection Inference. Inference after model selection and conformal prediction.
Recent technical contributions
A handful of recent papers carry the methodological frontier of selective and post-selection inference forward. Exact post-selection inference, with application to the lasso (Lee et al., 2016) is a primary reference for this area and develops new techniques or results that downstream work builds on.
Open methodological questions for selective and post-selection inference include sharpening the bridges between foundational theory and computational practice, extending classical results to broader or more structured settings, and integrating the techniques surveyed above with adjacent mathematical disciplines. The references listed in this page are the entry points that current work builds on.
Prerequisites
Sources
- paper · primary · 2016lee-jason-2016, sun-dennis-2016, sun-yuekai-2016, taylor-jonathan-2016
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