Springer.Baeza.Yates.and.al.(2005).Recent.Advances.in.Applied.Probability.[Springer]

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1、RecentAdvancesinAppliedProbabilityThispageintentionallyleftblankRecentAdvancesinAppliedProbabilityEditedbyRICARDOBAEZA-YATESUniversidaddeChile,ChileJOSEPHGLAZUniversityofConnecticut,USAHENRYKGZYLUniversidadSimónBolívar,VenezuelaJÜRGENHÜSLERUniversityofBern,Swi

2、tzerlandJOSÉLUISPALACIOSUniversidadSimónBolívar,VenezuelaSpringereBookISBN:0-387-23394-6PrintISBN:0-387-23378-4©2005SpringerScience+BusinessMedia,Inc.Print©2005SpringerScience+BusinessMedia,Inc.BostonAllrightsreservedNopartofthiseBookmaybereproducedortransmitt

3、edinanyformorbyanymeans,electronic,mechanical,recording,orotherwise,withoutwrittenconsentfromthePublisherCreatedintheUnitedStatesofAmericaVisitSpringer'seBookstoreat:http://ebooks.kluweronline.comandtheSpringerGlobalWebsiteOnlineat:http://www.springeronline.co

4、mContentsPrefacexiAcknowledgmentsxiiiModelingTextDatabases1RicardoBaeza-Yates,GonzaloNavarro1.1Introduction11.2ModelingaDocument31.3RelatingtheHeaps’andZipf’sLaw71.4ModelingaDocumentCollection81.5ModelsforQueriesandAnswers101.6Application:InvertedFilesfortheWe

5、b141.7ConcludingRemarks20Acknowledgments21Appendix21References24AnOverviewofProbabilisticandTimeSeriesModelsinFinance27AlejandroBalbás,RosarioRomera,EstherRuiz2.1Introduction272.2Probabilisticmodelsforfinance282.3Timeseriesmodels382.4Applicationsoftimeseriesto

6、financialmodels462.5Conclusions55References55Stereologicalestimationoftheroseofdirectionsfromtheroseofintersections65ViktorBeneš,IvanSax3.1Ananalyticalapproach663.2Convexgeometryapproach73Acknowledgments95References95ApproximationsforMultipleScanStatistics97Ji

7、eChen,JosephGlaz4.1Introduction97viRECENTSADVANCESINAPPLIEDPROBABILITY4.2TheOneDimensionalCase984.3TheTwoDimensionalCase1014.4NumericalResults1044.5ConcludingRemarks106References113KrawtchoukpolynomialsandKrawtchoukmatrices115PhilipFeinsilver,JerzyKocik5.1What

8、areKrawtchoukmatrices1155.2KrawtchoukmatricesfromHadamardmatrices1185.3Krawtchoukmatricesandsymmetrictensors1225.4Ehrenfesturnmodel1265.5Krawtchoukmatricesandclassicalrandomwalks12