Robust nonparametric kernel regression estimator

Ge Zhao, Yanyuan Ma

Research output: Contribution to journalArticlepeer-review

19 Scopus citations


In robust nonparametric kernel regression context, we prescribe method to select trimming parameter and bandwidth. Through solving estimating equations, we control outlier effect through combining weighting and trimming. We show asymptotic consistency, establish bias, variance properties and derive asymptotics.

Original languageEnglish (US)
Pages (from-to)72-79
Number of pages8
JournalStatistics and Probability Letters
StatePublished - Sep 1 2016

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty


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