International School
STOCHASTIC COMPARISONS: THEORY
AND APPLICATIONS
June 15-18, 2004
Department of Mathematics - Politecnico di Torino
During the school the following
courses will be given:
Moshe Shaked (University
of Arizona)
Stochastic orders for lifetime
distributions:
What does one want to mean by saying that one
random variable X is probabilistically
(or stochastically) smaller than another random
variable Y?
Obviously, it should not mean that every realization
of X is smaller than every realization
of Y. For example, we all agree that Tucson,
Arizona, is a warmer place than Turin.
But occasionally it is cooler in Tucson than
in Turin. So the notion of one random variable
being stochastically smaller than another random
variable is not a clear and trivial one.
In this course we will see various approaches
as to how to define stochastic orders between
two random variables. The notions of the regular
stochastic order, the hazard rate order, the
likelihood ratio order, the mean residual order,
and some other related orders, will be introduced,
discussed, and compared. Comparisons of multivariate
random vectors will also be covered.
Applications in reliability theory and in other
areas of applied probability will illustrate the ideas
Alfred Müller (Karlsruhe
University)
Variability and dependence orders
and their applications in actuarial sciences and finance:
Stochastic orders for the comparison of variability
are an important tool with applications in
many fields, especially in economics, finance
and insurance in the context of comparing risks.
If there is a portfolio of risks (in mathematical
terms a vector of random variables)
then it is also important to investigate the
interplay between dependence of the risks and the
risk of the portfolio. In this course we will
investigate the most important concepts of
univariate and multivariate variability orders
and dependence orders that are useful in this context.
Yosef Rinott (Hebrew University)
Total positivity, orderings
and applications:
The notions of Totally Positive matrices and
kernels, and the relation to inequalities and
orderings in the univariate and multivariate
case. Applications in statistics and other areas will be
discussed. In addition there will be a discussion
of orderings in abstract spaces using and
explaining tools from functional analysis. The
latter subject is related to coupling of random variables,
an idea which is useful for ordering and inequalities.
INVITED TALK:
Massimo Marinacci and Luigi
Montrucchio (Università di Torino)
Ultramodular fuctions
The afternoon of June 18th will
be devoted to a small workshop
and round table discussion
with the teachers
HOW
TO REACH THE SCHOOL LOCATION
For further information write to
stochasticorders@calvino.polito.it
Organizing Committee: F.
Pellerey, P. Semeraro, B. Trivellato.
Probability
and Statistics Group ,
Department
of Mathematics, Politecnico di Torino.
Supported by: MIUR-COFIN 2002 “Concepts of Supermodularity in Economic Theory”