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Seminario di Raj Bhansali a Bologna
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AVVISO DI SEMINARIO
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Lunedi' 30 maggio alle ore 11:00, presso il Dipartimento di Scienze
Statistiche
dell'Universitą di Bologna, via Delle Belle Arti 41, Bologna, aula III
Raj Bhansali
University of Liverpool, U.K.
terrą il seminario
Intermittency, long-memory and chaos
Abstract
It is widely recognised that time series exhibiting long-memory, in the
sense of slowly-decaying correlations, occur in many different
fields of applications; two well-known examples being the network traffic
and the volatility in financial returns. The established
stochastic models for characterizing the slow decay of correlations are
typically linear and based on a Gaussian assumption. There has however
lately been much development in Dynamical Systems Theory on chaotic
intermittency maps which also realize long-range dependence. These maps are
typically non-linear and non-Gaussian and incorporate the dynamical
characteristics of intermittency and chaos. The intermittency maps thus
produce orbits which alternate between laminar and chaotic regions, and
theoretical models for describing a behaviour of this type have been used
previously for a variety of different physical phenomena; for example,
chattering in impacting structures and chaotic motion in turbulence. The
empirical statistical properties of three different categories of
intermittency maps, namely the Polynomial, Logarithmic and Cusp maps, and
their instantaneous transformations are investigated by a simulation study,
focusing particularly on their dependence structure, especially the
estimated correlations, the invariant density, the sample paths (orbits),
and the behaviour of the linear autoregressive model selection procedures.
Per informazioni:
http://www.stat.unibo.it/ScienzeStatistiche/Bacheca/Eventi/2005/05/seminari_intermittency_chaos.htm
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Simone Giannerini
Dipartimento di Scienze Statistiche "Paolo Fortunati"
Universita' di Bologna
Via delle belle arti 41 - 40126 Bologna, ITALY
Tel: +39 051 2098248 Fax: +39 051 232153
E-mail: giannerini@stat.unibo.it
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