Statistical Methods for Biostatistics and Related Fields

Wolfgang Härdle is a professor of statistics at the Humboldt-Universität zu Berlin and director of C.A.S.E. the Centre for Applied Statistics and Economics. He teaches quantitative finance and semiparametric statistical methods. His research focuses on dynamic factor models, multivariate statistics in finance and computational statistics. He is an elected ISI member and advisor to the Guanghua School of Management, Peking University and to National Central University, Taiwan.

Biostatistics.- Discriminant Analysis Based on Continuous and Discrete Variables.- Longitudinal Data Analysis with Linear Regression.- A Kernel Method Used for the Analysis of Replicated Micro-array Experiments.- Kernel Estimates of Hazard Functions for Biomedical Data Sets.- Partially Linear Models.- Analysis of Contingency Tables.- Identifying Coexpressed Genes.- Bootstrap Methods for Testing Interactions in GAMs.- Survival Trees.- A Semiparametric Approach to Estimate Reference Curves for Biophysical Properties of the Skin.- Survival Analysis.- Related Sciences.- Ozone Pollution Forecasting Using Conditional Mean and Conditional Quantiles with Functional Covariates.- Nonparametric Functional Methods: New Tools for Chemometric Analysis.- Variable Selection in Principal Component Analysis.- Spatial Statistics.- Functional Data Analysis.- Analysis of Failure Time with Microearthquakes Applications.- Polychotomous Regression: Application to Landcover Prediction.- The Application of Fuzzy Clustering to Satellite Images Data.