Claudia Klüppelberg is affiliated with the Technical University of Munich in Germany. Their research spans multiple fields including Mathematics, Economics, Econometrics and Finance, and Computer Science, with significant contributions in applied and theoretical dimensions.
The scientist's main areas of study focus on Statistics and Probability, Finance, Artificial Intelligence, Management Science and Operations Research, and Statistical and Nonlinear Physics. Their work addresses topics such as Bayesian Modeling and Causal Inference, Financial Risk and Volatility Modeling, Statistical Methods and Inference, Complex Network Analysis Techniques, Stochastic Processes and Financial Applications, Probability and Risk Models, and Markov Chains and Monte Carlo Methods.
Recent published papers by Claudia Klüppelberg include:
Their frequent coauthors reflect collaboration across different projects and disciplines, including Mario Krali, Steffen L. Lauritzen, Ngoc Mai Tran, Johannes Buck, and Gero Friesecke.
Publication venues where Claudia Klüppelberg's work frequently appears include arXiv (Cornell University), Scandinavian Journal of Statistics, Journal of Multivariate Analysis, The Annals of Applied Probability, and Stochastic Models.
Paul Embrechts;Thomas Mikosch;Claudia Klüppelberg
Paul Embrechts;Claudia Klüppelberg;Thomas Mikosch
Claudia Klüppelberg
Claudia Klüppelberg;Alexander M. Lindner;R. A. Maller
Charles M. Goldie;Claudia Klüppelberg
C Kluppelberg;T Mikosch
Thomas Mikosch;Tamar Gadrich;Claudia Kluppelberg;Robert J. Adler
Claudia Kluppelberg;Andreas E. Kyprianou;Ross A. Maller
Claudia Klüppelberg
Susanne Emmer;Claudia Klüppelberg;Ralf Korn
Claudia Klüppelberg;Thomas Mikosch
Codina Cotar;Gero Friesecke;Claudia Klüppelberg
K. Böcker;C. Klüppelberg
Søren Asmussen;Claudia Klüppelberg
Claudia Klüppelberg;Ulrich Stadtmüller
Søren Asmussen;Claudia Klüppelberg;Karl Sigman
H. Rootzen;C. Kluppelberg
Milan Borkovec;Claudia Klüppelberg
Ole Barndorff-Nielsen;David Cox;Claudia Klüppelberg
Claudia Klüppelberg;Christoph Kühn
If you think any of the details on this page are incorrect, let us know.
For those studying Mathematics in the USA, branching into related fields through online degrees can open diverse career opportunities. An MS in data analytics is a natural extension, leveraging mathematical and statistical skills to interpret complex data and drive business decisions. Exploring the ms in data analytics programs can be a great step toward roles in technology, finance, or healthcare analytics.
Many mathematics graduates also consider management roles, making business degrees particularly popular. For individuals seeking flexibility and accessibility, the easiest mba program options are worth researching. These programs often offer accelerated curriculums with practical applications, ideal for those transitioning from math to leadership.
With the convenience of remote learning, students can benefit from the easiest online mba program choices that combine affordability and quality. This pathway supports career advancement without disrupting current employment.
For a more specialized focus in business, pursuing a doctorate can be advantageous. The dba online programs offer an affordable and flexible route to deepen expertise in business administration, often enhancing leadership prospects in academia or industry.
University of Akron
University of Oxford
University of California, Los Angeles
Aligarh Muslim University
Stony Brook University
Johns Hopkins University Applied Physics Laboratory
Kangwon National University
Kyoto University
Genentech
Pacific Northwest Diabetes Research Institute
University of Montpellier
Ludwig-Maximilians-Universität München
Southeast University
University of Pittsburgh
University of Western Australia
University of New Mexico