Universität Bayreuth

Andreas Christmann

Anschrift:

Leistungsprofil:

• Machine Learning
• mathematische Statistik
• angewandte Statistik
• Support Vector Machines und regularisierte Risikominimierung
• robuste Statistik

• Support Vector Machines fuer abhängige Daten

Publikationen:

• Steinwart, S. und Christmann, A. (2008). Support Vector Machines. Springer, New York.
• Andreas Christmann (2005). On a Strategy to Develop Robust and Simple Tariffs from Motor Vehicle Insurance Data. Acta Mathematicae Applicatae Sinica, English Series, 21, 193-208.
• Hable, R. und Christmann, A. (2014). Estimation of scale functions to model heteroscedasticity by regularised kernel-based quantile methods. Journal of Nonparametric Statistics, 26(2), 219-239.
• Christmann, A. and Van Aelst, S. (2006). Robust estimation of Cronbach's alpha. Journal of Multivariate Analysis, 97, 1660-1674.
• Christmann, A., Van Messem, A., Steinwart, I. (2009). On Consistency and Robustness Properties of Support Vector Machines for Heavy-Tailed Distributions. Statistics and Its Interface, 2, 311-327.
• Christmann, A. and Steinwart, I. (2008). Consistency of kernel based quantile regression. Applied Stochastic Models in Business and Industry (Wiley), 24(2), 171-183.
• Christmann, A., Steinwart, I., and Hubert, M. (2007). Robust Learning From Bites for Data Mining. Computational Statistics and Data Analysis, 52, 347-361.
• Jaeger H.J., Mathias, K.D., Hauth, E., Drescher, R., Gissler, H.M., Hennigs, S., Christmann, A. (2002). Cerebral ischemia detected with diffusion-weighted MR imaging after stent implantation in the carotid artery. American Journal of Neuroradiology, 23, 200-207.
• Garmer, M., Hennigs, S.P., Jaeger, H.J., Schrick, F., van de Loo, T., Jacobs, A., Hanusch, A., Christmann, A., Mathias, K. (2000). Digital Radiography Versus Conventional Radiography in Chest Imaging: Diagnostic Performance of a Large-Area Silicon Flat-Panel Detector in a Clinical CT-Controlled Study. American Journal of Roentgenology, 174, 75-80.
• M. Engelhardt, P. Bast, N. Jeblink, W. Lauer, A. Popovic, H. Eufinger, M. Scholz, A. Christmann, A. Harders, K. Radermacher, K. Schmieder (2006). Analysis of Surgical Management of Calvarial Tumours and First Results of a Newly Designed Robotic Trepanation System. Minimally Invasive Neurochirurgy, 49, 98-103.

Kooperationsangebot für die Wirtschaft / Praxis:

• Machine Learning
• Klassifikation und Regression
• Mustererkennung

Sonstiges: