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University of Vienna, Faculty of Mathematics
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Mo, 26.11.2012, 17:00, seminar room D 1.01
1090 Wien, Nordbergstraße 15, University of Vienna, UZA 4, 1st floor
Noam Berger (The Hebrew University of Jerusalem)
http://www.ma.huji.ac.il/~berger/
"Random walk and percolation in balanced random environments"
(Seminar on Probability Theory)
For further details see
http://www.mat.univie.ac.at/~finance_hp/seminarWS12_prob.html
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Th, 29.11.2012, 17:00, seminar room D 1.01
1090 Wien, Nordbergstraße 15, University of Vienna, UZA 4, 1st floor
Josef Teichmann (ETH Zurich)
http://www.math.ethz.ch/~jteichma/
"Robust calibration of models in finance"
(Seminar on Mathematical Finance)
For further details see
http://www.mat.univie.ac.at/~finance_hp/seminarWS12.html
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WPI - Wolfgang Pauli Institut
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Pauli Symposium
on
Mathematical Modeling:
new directions and applications
Monday, 26.11.2012, 15:00-18:00, Salon rouge
1090 Wien, Währinger Str. 30, Institut français - Palais Glam-Callas
15:00 Welcome
15:10 Pierre-Louis Lions (Collège de France)
"On Mean Field Games"
15:45 Sylvie Meleard (Ecole Polytechnique)
"Stochastic modeling of Darwinian evolution"
16:20 Ivar Ekeland (Univ. Paris-Dauphine)
"Modeling limited liability"
17:00 Cocktail
For further details see:
http://www.wpi.ac.at/event_view.php?id_activity=174
http://www.wpi.ac.at/themedata/Pauli-Symposium-MathModel-26Nov2012
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Pre-announcement of an WPI-event next year
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Mini-Course on Model Risk
^^^^^^^^^^^^^^^^^^^^^^^^^
Speaker: Denis Talay (INRIA)
http://www-sop.inria.fr/members/Denis.Talay/me.html)
Date: June 18-19, 2013
The duration of the mini-course will be 8 hours in sum.
Place: Wolfgang Pauli Institut
1090 Vienna, Norberstrasse 15
Registration:
Registration is free, but is mandatory!
Please register by sending an email to <laurenceWPI(a)gmail.com>
Please send only one email per registree,
i.e. please do not try and register a second person.
Registration will close when all seats are taken.
Abstract:
The objective of these lessons is to show that model risk, particularly
financial model risk, is intrinsic to stochastic modelling, and that its
analysis opens new challenging mathematical and numerical questions. We
will also present recent results which concern strategies which, issued
from the technical analysis, do not rely on a specific mathematical
model and therefore are robust w.r.t model risk. Various theories will
be used, such as statistics of random processes, stochastic control,
Malliavin calculus, backward stochastic differential equations,
viscosity solutions of nonlinear Partial Differential equations. However
the course will be self-contained
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