01456nam a2200409 i 450099100084067970753620020507174325.0940729s1984 de ||| | fre 3540138978b10764690-39ule_instLE01303134ExLDip.to Matematicaeng519.2AMS 28D05AMS 28D20AMS 60-02AMS 60-XXAMS 60G44AMS 60J60AMS 62B05AMS 62G05Dudley, Richard M.48562Ecole d'été de probabilités de Saint Flour XII-1982 /R. M. Dudley, H. Kunita, F. Ledrappier ; édité par P. L. HennequinBerlin ; New York :Springer-Verlag,1984x, 396 p. ;24 cm.Lecture notes in mathematics,0075-8434 ;1097Probability theoryLedrappier, FrancoisKunita, HiroshiHennequin, Paul LouisEcole d'été de probabilités de Saint-Flour<12. ;1982>.b1076469023-02-1728-06-02991000840679707536LE013 60-XX SFL11 V.XII (1984)V. 1212013000002101le013-E0.00-l- 01010.i1086022828-06-02École d'été de probabilités de Saint-Flour XII - 1982262568UNISALENTOle01301-01-94ma -frede 0104798nam 22006615 450 991025428370332120250318152258.09781493971909149397190510.1007/978-1-4939-7190-9(CKB)3710000001417927(DE-He213)978-1-4939-7190-9(MiAaPQ)EBC4890256(PPN)202988457(EXLCZ)99371000000141792720170627d2017 u| 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierDynamic Data Analysis Modeling Data with Differential Equations /by James Ramsay, Giles Hooker1st ed. 2017.New York, NY :Springer New York :Imprint: Springer,2017.1 online resource (XVII, 230 p. 84 illus., 50 illus. in color.)Springer Series in Statistics,2197-568X9781493971886 1493971883 Includes bibliographical references and index.1 Introduction to Dynamic Models -- 2 DE notation and types -- 3 Linear Differential Equations and Systems -- 4 Nonlinear Differential Equations -- 5 Numerical Solutions -- 6 Qualitative Behavior -- 7 Trajectory Matching -- 8 Gradient Matching -- 9 Profiling for Linear Systems -- 10 Nonlinear Profiling -- References -- Glossary -- Index.This text focuses on the use of smoothing methods for developing and estimating differential equations following recent developments in functional data analysis and building on techniques described in Ramsay and Silverman (2005) Functional Data Analysis. The central concept of a dynamical system as a buffer that translates sudden changes in input into smooth controlled output responses has led to applications of previously analyzed data, opening up entirely new opportunities for dynamical systems. The technical level has been kept low so that those with little or no exposure to differential equations as modeling objects can be brought into this data analysis landscape. There are already many texts on the mathematical properties of ordinary differential equations, or dynamic models, and there is a large literature distributed over many fields on models for real world processes consisting of differential equations. However, a researcher interested in fitting such amodel to data, or a statistician interested in the properties of differential equations estimated from data will find rather less to work with. This book fills that gap. Offers an accessible text to those with little or no exposure to differential equations as modeling objects Updates and builds on techniques from the popular Functional Data Analysis (Ramsay and Silverman, 2005) Opens up new opportunities for dynamical systems and presents additional applications for previously analyzed data Jim Ramsay, PhD, is Professor Emeritus of Psychology and an Associate Member in the Department of Mathematics and Statistics at McGill University. He received his PhD from Princeton University in 1966 in quantitative psychology. He has been President of the Psychometric Society and the Statistical Society of Canada. He received the Gold Medal in 1998 for his contributions to psychometricsand functional data analysis and Honorary Membership in 2012 from the Statistical Society of Canada. Giles Hooker, PhD, is Associate Professor of Biological Statistics and Computational Biology at Cornell University. In addition to differential equation models, he has published extensively on functional data analysis and uncertainty quantification in machine learning. Much of his methodological work is inspired by collaborations in ecology and citizen science data.Springer Series in Statistics,2197-568XStatisticsMathematicsQuantitative researchFunctional analysisStatistical Theory and MethodsApplications of MathematicsData Analysis and Big DataFunctional AnalysisStatistics.Mathematics.Quantitative research.Functional analysis.Statistical Theory and Methods.Applications of Mathematics.Data Analysis and Big Data.Functional Analysis.515.35Ramsay Jamesauthttp://id.loc.gov/vocabulary/relators/aut472349Hooker Gilesauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910254283703321Dynamic Data Analysis2162750UNINA01577nam0 2200313 i 450 CFI048366420251003044142.08846421345IT2000-9858 20130827d2000 ||||0itac50 baitaitz01i xxxe z01nConvergenza tecnologica e industria degli apparati e dei sistemi per le telecomunicazioniEnzo PontarolloMilanoF. Angeli 2000!143 p.23 cmIn appendice: Profili di aziende del settore, dello stesso AIn cop.: ANIE-associazione nazionale telecomunicazioni e informatica.384.0945ALTRI SISTEMI DI COMUNICAZIONE. TELECOMUNICAZIONI. ITALIA19Pontarollo, EnzoCFIV022258070106665ITIT-00000020130827IT-BN0095 NAP 01POZZO LIB.Vi sono collocati fondi di economia, periodici di ingegneria e scienze, periodici di economia e statistica e altri fondi comprendenti documenti di economia pervenuti in dono. CFI0483664Biblioteca Centralizzata di Ateneo1 v. 01POZZO LIB.ECON MON 5295 0101 0000284815E VMA 1 v.B 20210401202104011 v. 01POZZO LIB.ECON MON 5381 0101 0000280645E VMA 1 v.B 2021040820210408 01Convergenza tecnologica e industria degli apparati e dei sistemi per le telecomunicazioni509168UNISANNIO