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Paper accepted to Statistics and Probability Letters

Selective inference after likelihood- or test-based model selection in linear models

10.04.2018

David Rügamer, Sonja Greven

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.

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