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stat.ME2020
Selective Inference for Additive and Linear Mixed Models
David Rügamer, Philipp F. M. Baumann, Sonja Greven
This work addresses the problem of conducting valid inference for additive and linear mixed models after model selection. One possible solution to overcome overconfident inference…
stat.ME2017
Selective inference after likelihood- or test-based model selection in linear models
David Rügamer, Sonja Greven
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…