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59 PRIMA 2013 Abstractsformula estim<strong>at</strong>ing the Hausdorff dimensions of the temperedcompact random invariant sets and investig<strong>at</strong>e theexistence and the Hausdorff dimensions of random <strong>at</strong>tractorsfor a stochastic wave equ<strong>at</strong>ion with noisy damping.D<strong>at</strong>a fusion based on evidence theoryYanyan HeFlorida St<strong>at</strong>e University, USAyhe2@m<strong>at</strong>h.fsu.eduD<strong>at</strong>a fusion techniques integr<strong>at</strong>e d<strong>at</strong>a from multiplesources (such as sensors, institutions, and etc.), and thecombined inform<strong>at</strong>ion can help to reach more accur<strong>at</strong>eand more specific inference. In this present<strong>at</strong>ion, evidencetheory based combin<strong>at</strong>ion approaches are introduced tocombine distinct sources of uncertain inform<strong>at</strong>ion. Theuncertainty in each source of inform<strong>at</strong>ion is representedby a belief function individually, which are then combinedto produce a single belief function representing inform<strong>at</strong>ionfrom all the sources. The approaches are illustr<strong>at</strong>edwith examples.The generalized Itô-Wentzell formula for Itô’sprocess and the stochastic first integralElena KarachanskayaPaciŕc N<strong>at</strong>ional University, Russiachalykh@mail.khstu.ruWe present the Generalized Itô-Wentzell formula, whichis the generaliz<strong>at</strong>ion of Itô-Wentzell formula for a multidementionalItô’s process with the Wiener and the Poissonperturb<strong>at</strong>ions.This result allowed to set equ<strong>at</strong>ions for the stochastic firstintegrals of a stochastic differential equ<strong>at</strong>ions system.An explicit cross entropy scheme for mixturesXiang ZhouCity University of Hong Kong, Hong Kong, Chinaxiang.zhou@cityu.edu.hkThe key issue in importance sampling is the choice of thealtern<strong>at</strong>ive sampling distribution, which is often chosenfrom the exponential tilt family of the underlying distribution.However, when the problem exhibits certain kindof nonconvexity, it is very likely th<strong>at</strong> a single exponentialchange of measure will never <strong>at</strong>tain asymptotic optimalityand may lead to erroneous estim<strong>at</strong>es. In this paper weintroduce an explicit iter<strong>at</strong>ive scheme which combines thetraditional cross-entropy method and the EM algorithmto find an efficient altern<strong>at</strong>ive sampling distribution inthe form of mixtures. We also study the applic<strong>at</strong>ions ofthis scheme to option price estim<strong>at</strong>ion.Asymptotic analysis for tipping points problemsJielin ZhuUniversity of British Columbia, Canadajielinzhu@m<strong>at</strong>h.ubc.caA tipping point, observed as a rapid change in clim<strong>at</strong>eor ecology, can be induced by a slowly varying controlparameter of a saddle-node bifurc<strong>at</strong>ion. The position ofthe tipping point can be significantly changed by smallnoise or periodic terms. A local multiple scaling methodis used to describe the behaviour of the system based onthe rel<strong>at</strong>ion of the drifting r<strong>at</strong>e, noise and frequency of theperiodic terms. A one-dimensional canonical slowly varyingsystem with a saddle-node bifurc<strong>at</strong>ion is analysed, tofind out the effect of the noise or the frequency of the periodicterms separ<strong>at</strong>ely. We also show results for a globalenergy balance model in clim<strong>at</strong>e dynamics.

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