Robust Estimation for Varying Coefficient Model
This paper considers robust estimation of varying coefficient model with emphasis on resistance against outliers. By combining B-splines method with taut string method, a penalized B-splines procedure is proposed. Based on local quadratic approximation, an iterative algorithm is introduced. A simulation study is undertaken to assess the finite sample performance of the proposed method. An example in epidemiology is used for illustration.
Varying Coefficient Model B-splines Taut String Method Robust Estimation
ZHAO Peixin XUE Liugen
College of Applied Sciences, Beijing University of Technology, P.R.China, 100124 Department of Mathe College of Applied Sciences, Beijing University of Technology, P.R.China, 100124
国际会议
2009 International Institute of Applied Statistics Studies(2009 国际应用统计学术研讨会)
青岛
英文
1-6
2009-07-25(万方平台首次上网日期,不代表论文的发表时间)