A software tool for sparse estimation of a general class of high-dimensional glms

HIGHLIGHTS

  • who: GLMs et al. from the (UNIVERSITY) have published the research work: A Software Tool For Sparse Estimation Of A General Class Of High-dimensional GLMs, in the Journal: (JOURNAL)
  • what: The authors focus on the behaviour of the IPC algorithm.

SUMMARY

    High-dimensional inference problems are studies where the number of predictors p for some response variable is larger than the sample size n. From a computational point of view, the main problem of the dgLARS method is related to the standard predictor-corrector (PC) algorithm developed by Augugliaro et_al . . .

     

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