Splitting strategies for post-selection inference

HIGHLIGHTS

  • who: Biometrika et al. from the Department have published the Article: Splitting strategies for post-selection inference, in the Journal: (JOURNAL)
  • what: The investigations show that the gain in power can be substantial. The authors compare the methods in circumstances where inference discards all the information of the selection split, and is therefore unaffected by the complexity of the selection rule. The goal is to show that this approach provides a better division of the available information than does data splitting. An appealing feature of the (U, V ) decomposition is that it provides a way . . .

     

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