Prof. Dr. Claudia Klüppelberg


Mathematical Statistics
Professor emerita since April 1, 2019



Academic Career and Research Areas

The research interests of Professor Klüppelberg combine various disciplines of applied probability theory and statistics with applications in the area of biological, economic and technical risks. Her fundamental research concentrates on advancing the modeling and extension of the spectrum of methods for risk analysis and risk measurement, but she is also interested in real-world problems and cooperation with industry.  
After studying mathematics and receiving her doctorate (1987) at the University of Mannheim, Prof. Klüppelberg completed her lecturer qualification at the Swiss Federal Institute of Technology Zurich (1993). Before becoming full professor of mathematical statistics at TUM, she was a professor of applied statistics in Mainz until 1997. She headed up the IAS focus group Risk Analysis and Stochastic Modeling at TUM from 2008 to 2011. Along with more than 150 publications in scientific journals and books, she is the editor of the Springer Finance series of books and the SpringerLecture Notes in Mathematics subseries Lévy Matters. She is an Elected Fellow of the Institute of Mathematical Statistics.


  • Olga Taussky-Pauli Fellow at the Wolfgang Pauli Institute (2009/10)
  • IMS Medaillon Lecture (2009)
  • PRMIA New Frontiers in Risk Management Award (2007)
  • Pro Meritis Scientiae et Litterarum (2001)
  • Order of Merit of the Federal Republic of Germany (2001)

Klepsch J, Klüppelberg C: "An Innovations Algorithm for the prediction of func-tional linear processes". Journal of Multivariate Analysis. 2017; 155: 252-271.


Davis RA, Klüppelberg C, Steinkohl C: "Statistical inference for max-stable processes in space and time". Journal of the Royal Statistical Society. 2013; Series B: 791-819.


Delong L, Klüppelberg C: “Optimal investment and consumption in a Black-Scholes market with Lévy-driven stochastic coefficients.” Ann. Appl. Prob. 2008; 18(3): 879-908.


Klüppelberg C, Lindner A, Maller R: “A continuous time GARCH process driven by a Lévy process: stationarity and second order behavior.” Journal of Applied Probability. 2004; 41: 601-622.


Embrechts P, Klüppelberg C, Mikosch T: Modelling Extremal Events for Insurance and Finance. Berlin: Springer, 1997.