Laplace's method and BIC model selection for least absolute value criterion

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Abstract

In this paper, we provide an answer to the following question: In the particular case of a non-differentiable likelihood, is the formula for the BIC model selection criterion the same? More precisely, we obtain the Laplace method for a sum-of-absolute-values function and we deduce that the usual BIC formula with penalty in log(n) remains the same in the context of a selection of explanatory variables by least absolute value regression.

Original languageEnglish
Article number109764
JournalStatistics and Probability Letters
Volume195
DOIs
Publication statusPublished - 1 Apr 2023
Externally publishedYes

Keywords

  • BIC criterion
  • Laplace's method
  • Least absolute values regression
  • Model selection
  • Robust statistics

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