Article ID Journal Published Year Pages File Type
7547922 Statistics & Probability Letters 2018 6 Pages PDF
Abstract
Statistical inference after model selection requires an inference framework that takes the selection into account in order to be valid. Following recent work on selective inference, we derive analytical expressions for inference after likelihood- or test-based model selection for linear models.
Keywords
Related Topics
Physical Sciences and Engineering Mathematics Statistics and Probability
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