Adaptive in the supremum norm for semiparametric mixtures of regressions

HIGHLIGHTS

  • who: M-estimation et al. from the Gustave Eiffel, LAMA (UMR, ), Marne-la-VallĂ©e , France have published the research work: Adaptive in the supremum norm for semiparametric mixtures of regressions, in the Journal: (JOURNAL)
  • what: The authors investigate a flexible two-component semiparametric mixture of regressions model in which one of the conditional component distributions of the response given the covariate is unknown but assumed symmetric about a location parameter while the other is specified up to a scale parameter. After settling identifiability the authors provide local M-estimators for these parameters which converge . . .

     

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