We are thrilled to announce that Glenn Shafer (Rutgers) will be visiting the MCMP and the LMU statistics department in March/April 2016! He will be involved in many activities:
- He will give a series of 10 lectures on the philosophy of game-theoretic probability; find more details here.
- We are also putting together a two-day workshop with Glenn Shafer on the history of statistics (including Munich’s tradition); find more details here.
- And lastly, he will be one of the keynote speakers at the Munich-Sydney-Tilburg conference on evidence, inference, and risk in late March; find more details here.
Glenn Shafer is Professor at the Rutgers Business School – Newark and New Brunswick. He obtained his Ph.D. in mathematical statistics in 1973 from Princeton University. During is academic life he made numerous contributions to mathematics, statistics, and finance. He is one of the founding fathers of the Dempster-Shafer-Theory, which is a mathematical framework for modeling epistemic uncertainty. Among his most recent books “Probability and Finance: It’s Only a Game!” (2001, co-authored by Vladimir Vovk) provides a foundation for probability based on game theory rather than measure theory. “Algorithmic Learning in a Random World” (2005), a joint work with Vladimir Vovk and Alex Gammerman, describes how several important machine learning problems, such as density estimation in high-dimensional spaces, cannot be solved if the only assumption is randomness. Glenn Shafer has research interests in a great number of fields which led to publications in journals in statistics, philosophy, history, psychology, computer science, economics, engineering, accounting, and law. For more information, visit his website.