Description

The course Non- and Semiparametric Modelling gives an overview over the flexible regression methods. The course starts with an introduction into the density estimation (histogram, kernel density estimation). Nonparametric regression methods and their applications are discussed. Furthermore additive models will be introduced in the course. At the end of the course the students will be able to implement methods to solve practical problems.

Course Outline

• Introduction

  Parametric Regression
  Nonparametric Regression
  Semiparametric Regression
  

• Nonparametric Density Estimation

  Histogram, Average Shifted Histogram
  Kernel Density Estimation (KDE) , Motivation and Derivation
  KDE - Statistical Properties
  KDE - Smoothing Parameter Selection
  KDE - Choosing the Kernel
  Confidence Intervals and Confidence Bands
  Multivariate Kernel Density Estimation
  

• Nonparametric Regression

  Univariate Kernel Regression
  Other Smoothers (Regression Splines, Orthogonal Series)
  Smoothing Parameter Selection
  Confidence Regions and Tests
  Multivariate Kernel Regression
  Applications
  

Literature

• Härdle, Müller, Sperlich, Werwatz (2004): Non- and Semiparametric Modelling, Springer
  
• Fan, J. and Gijbels, I. (1996): Local Polynomial Modelling and Its Applications, Chapman and Hall, New York
  
• Härdle, W. (1990): Applied Nonparametric Regression, Econometric
• Society Monographs No. 19, Cambridge University Press
  
• Härdle, W. (1991): Smoothing Techniques, With Implementations in S, Springer, New York
  
• Härdle, Klinke, Müller (1999): XploRe - Academic Edition, The Interactive Statistical Computing Environment, Springer, New York
  
• Scott, D. W. (1992): Multivariate Density Estimation: Theory, Practice, and Visualization,
• John Wiley & Sons, New York, Chichester
  
• Silverman, B. W. (1986): Density Estimation for Statistics and Data Analysis, Vol. 26 of Monographs on Statistics and Applied Probability, Chapman and Hall, London
  
• Wand, M. P. and Jones, M. C. (1995): Kernel Smoothing, Chapman and Hall, London
  
• Yatchew, A., (2003): Semiparametric Regression for Applied Econometrician, Cambridge University Press, Cambridge
  
• Students can purchase the Professional Edition of XploRe and/or a bookset for a reduced price. For details please ask the lecturer or send an email to mdtech@mdtech.de.