Uniform convergence rate of kernel estimation with mixed categorical and continuous data Academic Article uri icon


  • We consider nonparametric estimation of regression functions with mixed categorical and continuous data, and we smooth both the discrete and continuous variables so that the approach does not suffer the sample splitting problem associated with the conventional frequency-based nonparametric estimation method. We derive the uniform convergence rate of the kernel regression function estimation with weakly dependent data. 2004 Elsevier B.V. All rights reserved.

published proceedings


author list (cited authors)

  • Li, Q., & Ouyang, D. S.

citation count

  • 11

complete list of authors

  • Li, Q||Ouyang, DS

publication date

  • January 2005