Chapter 1 Asymptotic Theory for M-Estimators of Boundaries

Chapter 2 A Simple Deconvolving Kernel Density Estimator when Noise Is Gaussian

Chapter 3 Nonparametric Volatility Estimation on the Real Line from Low Frequency Data

Chapter 4 Linear Regression Models for Functional Data

Chapter 5 Penalized Binary Regression as Statistical Learning Tool for Microarray Analysis

Chapter 6 A Relaxed Iterative Projection Algorithm for Rank-Deficient Regression Problems

Chapter 7 About Sense and Nonsense of Non- and Semiparametric Analysis in Applied Economics

Chapter 8 Functional Nonparametric Statistics in Action

Chapter 10 Nonparametric and Semiparametric Estimation of Additive Models with Both Discrete and Continuous Variables under Dependence