02257nam0 22005413i 450 VAN0026432820250217014909.734N978364296985020231003d1987 |0itac50 baengDE|||| |||||i e bState Space Modeling of Time SeriesMasanao AokiBerlinSpringer-Verlag1987xi, 315 p.24 cm001VAN000245062001 Universitext210 Berlin [etc]Springer1930-VAN00287127State Space Modeling of Time Series33403562-XXStatistics [MSC 2020]VANC022998MF62M10Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020]VANC025079MF62M20Inference from stochastic processes and prediction; filtering [MSC 2020]VANC033691MF91B84Economic time series analysis [MSC 2020]VANC030773MF93B30System identification [MSC 2020]VANC023144MF93E12Identification in stochastic control theory [MSC 2020]VANC036699MFAlgorithmsKW:KDynamic ProgrammingKW:KForecastingKW:KInformationsKW:KInnovationKW:KInstrumental variablesKW:KModelingKW:KOptimizationKW:KRatingKW:KRegressionKW:KTime seriesKW:KValue at riskKW:KBerlinVANL000066AokiMasanaoVANV21712054078Springer <editore>VANV108073650ITSOL20250221RICAhttps://doi.org/10.1007/978-3-642-96985-0E-book – Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o ShibbolethBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICAIT-CE0120VAN08NVAN00264328BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA08DLOAD e-book 6921 08eMF6921 20231023 State space modeling of time series334035UNICAMPANIA03469nam 2200601Ia 450 991043776620332120200520144314.09783642343001364234300710.1007/978-3-642-34300-1(CKB)3400000000102804(SSID)ssj0000788865(PQKBManifestationID)11449498(PQKBTitleCode)TC0000788865(PQKBWorkID)10834310(PQKB)11711378(DE-He213)978-3-642-34300-1(MiAaPQ)EBC3070889(PPN)168326639(EXLCZ)99340000000010280420130306d2013 uy 0engurnn#008mamaatxtccrAdvanced methods for computational collective intelligence /Ngoc Thanh Nguyen ... [et al.]1st ed. 2013.Berlin ;New York Springerc20131 online resource (X, 378 p.)Studies in computational intelligence ;457Bibliographic Level Mode of Issuance: Monograph9783642433795 3642433790 9783642342998 364234299X Includes bibliographical references and index.Part I: Semantic Web and Ontologies -- Part II: Social Networks and e-Learning -- Part III: Agent and Multiagent Systems -- Part IV: Data Mining Methods and Applications -- Part V: Soft computing -- Part VI: Optimization and Control.The book consists of 35 extended chapters which have been selected and invited from the submissions to the 4th International Conference on Computational Collective Intelligence Technologies and Applications (ICCCI 2012) held on November 28-30, 2012 in Ho Chi Minh City, Vietnam. The book is organized into six parts, which are semantic web and ontologies, social networks and e-learning, agent and multiagent systems, data mining methods and applications, soft computing, and optimization and control, respectively. All chapters in the book discuss theoretical and practical issues connected with computational collective intelligence and related technologies. The editors hope that the book can be useful for graduate and Ph.D. students in Computer Science, in particular participants in courses on Soft Computing, Multiagent Systems, and Data Mining. This book can be also useful for researchers working on the concept of computational collective intelligence in artificial populations. It is the hope of the editors that readers of this volume can find many inspiring ideas and use them to create new cases of intelligent collectives. Many such challenges are suggested by particular approaches and models presented in individual chapters of this book. The editors hope that readers of this volume can find many inspiring ideas and influential practical examples and use them in their future work.Studies in Computational Intelligence,1860-949X ;457Computational intelligenceArtificial intelligenceComputational intelligence.Artificial intelligence.006.3Nguyen Ngoc Thanh601234MiAaPQMiAaPQMiAaPQBOOK9910437766203321Advanced methods for computational collective intelligence4187642UNINA