Statistical Theory and Computational Aspects of Smoothing

One of the main applications of statistical smoothing techniques is non-parametric regression. For the last 15 years there has been a strong theoretical interest in the development of such techniques. Related algorithmic concepts have been a main concern in computational statistics. Smoothing techniques in regression, as well as other statistical methods are increasingly applied in biosciences and economics. But they are also relevant for medical and psychological research. This proceedings volume introduces new developments in scatterplot smoothing and applications in statistical modelling. The treatment of the topics is on an intermediate level avoiding too many technicalities. Computational and applied aspects are considered throughout. Of particular interest to readers is the discussion of recent local fitting techniques.