Backfitting versus profiling in general criterion functions Academic Article uri icon


  • We study the backfitting and profile methods for general criterion functions that depend on a parameter of interest and a nuisance function 9. We show that when different amounts of smoothing are employed for each method to estimate the function , the two estimation procedures produce estimators of with the same limiting distributions, even when the criterion functions are non-smooth in and/or . The results are applied to a partially linear median regression model and a change point model, both examples of non-smooth criterion functions.

published proceedings


author list (cited authors)

  • Van Keilegom, I., & Carroll, R. J.

complete list of authors

  • Van Keilegom, Ingrid||Carroll, Raymond J

publication date

  • April 2007