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Glenn Shafer: Ten Lectures on Game-Theoretic Probability

08.02.2016

MCMP/LMU Munich

15 March – 2 April, 2016

The Munich Center for Mathematical Philosophy (MCMP) is happy to welcome Glenn Shafer at LMU Munich from 15 March through 2 April, 2016 (in co-organization with LMU's department of statistics). Prof. Shafer will give a series of ten lectures on the philosophy of game-theoretic probability (15-21 March, 2016), he will speak at a two-day workshop on the history of statistics (including Munich's tradition) on 22 and 23 March, and he will give one of the keynote lectures at the Munich-Sydney-Tilburg conference on evidence, inference, and risk (31 March - 2 April, 2016).

Please find more information on all events on the PhilPharm project website here:
https://philpharmblog.wordpress.com/2016/01/25/glenn-shafer-visiting-lmu-2016
(updated in due course)

If you would like to participate in any of the events and need advise on travel and accommodation in Munich, please don't hesitate to contact Roland Poellinger (r.poellinger@lmu.de).

Glenn Shafer - short biography:

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: www.glennshafer.com.