The Art of Semiparametrics

  title={The Art of Semiparametrics},
  author={Stefan Sperlich and W. H{\"a}rdle and G. Aydınlı},
  • Stefan Sperlich, W. Härdle, G. Aydınlı
  • Published 2006
  • Mathematics
  • Asymptotic Theory for M-Estimators of Boundaries.- A Simple Deconvolving Kernel Density Estimator when Noise Is Gaussian.- Nonparametric Volatility Estimation on the Real Line from Low Frequency Data.- Linear Regression Models for Functional Data.- Penalized Binary Regression as Statistical Learning Tool for Microarray Analysis.- A Relaxed Iterative Projection Algorithm for Rank-Deficient Regression Problems.- About Sense and Nonsense of Non- and Semiparametric Analysis in Applied Economics… CONTINUE READING
    10 Citations
    Testing linearity in semi-parametric functional data analysis
    • 15
    Generalized boosted additive models
    • 2
    Nonparametric modelling for functional data: selected survey and tracks for future
    • 26
    Review of Functional Data Analysis
    • 76
    • PDF
    Nonlinear Function Approximation Based on Least Wilcoxon Takagi-Sugeno Fuzzy Model
    • 9
    Editorial Collaborators
    • 2004