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Since the early eighties, Ali Suleyman UEstunel has been one of the
main contributors to the field of Malliavin calculus. In a workshop
held in Paris, June 2010 several prominent researchers gave
exciting talks in honor of his 60th birthday. The present volume
includes scientific contributions from this workshop. Probability
theory is first and foremost aimed at solving real-life problems
containing randomness. Markov processes are one of the key tools
for modeling that plays a vital part concerning such problems.
Contributions on inventory control, mutation-selection in genetics
and public-private partnerships illustrate several applications in
this volume. Stochastic differential equations, be they partial or
ordinary, also play a key role in stochastic modeling. Two of the
contributions analyze examples that share a focus on probabilistic
tools, namely stochastic analysis and stochastic calculus. Three
other papers are devoted more to the theoretical development of
these aspects. The volume addresses graduate students and
researchers interested in stochastic analysis and its applications.
Since the early eighties, Ali Suleyman Ustunelhas beenone of the
main contributors to the field of Malliavin calculus. In a workshop
held in Paris, June 2010 several prominent researchers gave
exciting talks in honor of his 60th birthday. The present volume
includes scientific contributions from this workshop.
Probability theory is first and foremost aimed at solving real-life
problems containing randomness. Markov processes are one of the key
tools for modeling that plays a vital part concerning such
problems. Contributions on inventory control, mutation-selection in
genetics and public-private partnerships illustrate several
applications in this volume. Stochastic differential equations, be
they partial or ordinary, also play a key role in stochastic
modeling. Two of the contributions analyze examples that share a
focus on probabilistic tools, namely stochastic analysis and
stochastic calculus. Three other papers are devoted more to the
theoretical development of these aspects. The volume addresses
graduate students and researchers interested in stochastic analysis
and its applications."
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