00898nam0-22003011i-450-990002525020403321044223050044223050000252502FED01000252502(Aleph)000252502FED0100025250220000920d1987----km-y0itay50------baENGStatistical Methods for Environmental Popu lation MonitoringRichard Gilbert.New YorkVan Nostrand Reinhold1987 .X, 320 p.26 cmStatistica per le applicazioni biomediche, Ecologia628Gilbert,Richard367794ITUNINARICAUNIMARCBK990002525020403321XVIII-D-11083MASMASStatistical Methods for Environmental Popu lation Monitoring439016UNINAING0102423nam0 22005173i 450 VAN0027951720241120041800.455N978303145464620240710d2023 |0itac50 baengCH|||| |||||Marginal and Functional Quantization of Stochastic ProcessesHarald Luschgy, Gilles PagèsChamSpringer2023xviii, 912 p.ill.24 cm001VAN001038262001 Probability theory and stochastic modelling210 Berlin [etc.]Springer1988-10546N30Applications of functional analysis in probability theory and statistics [MSC 2020]VANC031458MF60-XXProbability theory and stochastic processes [MSC 2020]VANC020428MF60B11Probability theory on linear topological spaces [MSC 2020]VANC031456MF60G15Gaussian processes [MSC 2020]VANC020010MF65C30Numerical solutions to stochastic differential and integral equations [MSC 2020]VANC023284MFCluster algorithmsKW:KContinuous-time stochastic processesKW:KDiscretization MethodsKW:KLuschgy GrafKW:KNumerical ProbabilityKW:KNumerical methods in probabilityKW:KPages Numerical ProbabilityKW:KRandom vectorsKW:KSignal processingKW:KSignal transmissionKW:KSpace discretizationsKW:KUnsupervised learningKW:KVector QuantizationKW:KCHChamVANL001889LuschgyHaraldVANV08765962625PagèsGillesVANV096340767869Springer <editore>VANV108073650ITSOL20241122RICAhttps://doi.org/10.1007/978-3-031-45464-6E-book – Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o ShibbolethBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICAIT-CE0120VAN08NVAN00279517BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA08DLOAD e-Book 9431 08eMF9431 20240715 Marginal and Functional Quantization of Stochastic Processes3660387UNICAMPANIA