Kernel-Based Multi-Imputation for Missing Data

  • Authors:
  • Shichao Zhang;Yongsong Qin;Xiaofeng Zhu;Jilian Zhang;Chengqi Zhang

  • Affiliations:
  • Faculty of Information Technology, University of Technology Sydney;Deparment of Computer Science, Guangxi Normal University, China;Deparment of Computer Science, Guangxi Normal University, China;Deparment of Computer Science, Guangxi Normal University, China;Faculty of Information Technology, University of Technology Sydney

  • Venue:
  • Proceedings of the 2006 conference on Advances in Intelligent IT: Active Media Technology 2006
  • Year:
  • 2006

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Abstract

A Kernel-Based Nonparametric Multiple imputation method is proposed under MAR (Missing at Random) and MCAR (Missing Completely at Random) missing mechanisms in nonparametric regression settings. We experimentally evaluate our approach, and demonstrate that our imputation performs better than the well-known NORM algorithm.