02589nam0 22005293i 450 VAN024941020230531084821.764N978303041068120220831d2020 |0itac50 baengCH|||| |||||Machine Learning in FinanceFrom Theory to PracticeMatthew F. Dixon, Igor Halperin, Paul BilokonChamSpringer2020xxv, 548 p.ill.24 cmVAN0249411Machine Learning in Finance290546662-XXStatistics [MSC 2020]VANC022998MF68T05Learning and adaptive systems in artificial intelligence [MSC 2020]VANC023390MF62M10Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020]VANC025079MF91-XXGame theory, economics, finance, and other social and behavioral sciences [MSC 2020]VANC025601MF62M45Neural nets and related approaches to inference from stochastic processes [MSC 2020]VANC026513MF62P05Applications of statistics to actuarial sciences and financial mathematics [MSC 2020]VANC030682MF91B84Economic time series analysis [MSC 2020]VANC030773MF91G80Financial applications of other theories [MSC 2020]VANC031013MF91G10Portfolio theory [MSC 2020]VANC031365MFBayesian neural networksKW:KFinancial EconometricsKW:KFinancial mathematicsKW:KInvestment ManagementKW:KMachine learningKW:KNeural networksKW:KReinforcement LearningKW:KTime Series ModelingKW:KWealth ManagementKW:KCHChamVANL001889DixonMatthew F.VANV2040081002777BilokonPaulVANV2040101253247HalperinIgorVANV2040091253248Springer <editore>VANV108073650ITSOL20240614RICAhttp://doi.org/10.1007/978-3-030-41068-1E-book – Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o ShibbolethBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICAIT-CE0120VAN08NVAN0249410BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA08CONS e-book 4726 08eMF4726 20220831 Machine Learning in Finance2905466UNICAMPANIA05460nam 22006855 450 991048445480332120230811001939.094-017-9822-210.1007/978-94-017-9822-8(CKB)3710000000434442(EBL)2095497(OCoLC)910964272(SSID)ssj0001524891(PQKBManifestationID)11820619(PQKBTitleCode)TC0001524891(PQKBWorkID)11485226(PQKB)10595718(DE-He213)978-94-017-9822-8(MiAaPQ)EBC2095497(PPN)186397348(EXLCZ)99371000000043444220150610d2015 u| 0engur|n|---|||||txtccrExplanation in Biology An Enquiry into the Diversity of Explanatory Patterns in the Life Sciences /by Pierre-Alain Braillard, Christophe Malaterre1st ed. 2015.Dordrecht :Springer Netherlands :Imprint: Springer,2015.1 online resource (434 p.)History, Philosophy and Theory of the Life Sciences,2211-1956 ;11Description based upon print version of record.94-017-9821-4 Includes bibliographical references.Chapter 1. “Explanation in Biology: An Introduction” -- PART I – EXPLORING EXPLANATORY PLURALISM IN BIOLOGY -- Chapter 2. “Is There an Explanation for the Diversity of Explanations in Biological Sciences?” -- Chapter 3. “Explanation in Systems Biology: Is It All About Mechanisms?” -- Chapter 4. “Historical Contingency and the Explanation of Evolutionary Trends” -- Chapter 5. “Developmental Noise: Explaining the Specific Heterogeneity of Individual Organisms” -- PART II – MECHANISTIC EXPLANATION: APPLICATIONS AND EMENDATIONS -- Chapter 6. “Explaining in Contemporary Molecular Biology: Beyond Mechanisms” -- Chapter 7. “Evolutionary Developmental Biology and the Limits of Philosophical Accounts of Mechanistic Explanation” -- Chapter 8. “The Relevance of Irrelevance: Explanation in Systems Biology” -- Chapter 9. “Graph-Theoretic Perspectives on Dynamic Mechanistic Explanation” -- PART III – THE ROLE OF MATHEMATICS IN BIOLOGICAL EXPLANATIONS -- Chapter 10. “Mathematical Explanation in Biology” -- Chapter 11. “Explanation and Organizing Principles in Systems Biology” -- Chapter 12. “Are dynamic mechanistic explanations still mechanistic?” -- PART IV – THE ROLE OF HEURISTICS IN BIOLOGICAL EXPLANATIONS -- Chapter 13. “Heuristics, Descriptions, and the Scope of Mechanistic Explanation” -- Chapter 14. “Prospect and Limits of Explaining Biological Systems in Engineering Terms” -- Chapter 15. “From Mechanisms to Mathematical Models and Back to Mechanisms: Quantitative Mechanistic Explanations” -- PART V – NEW THEORIES OF EXPLANATION IN BIOLOGY AND ELSEWHERE -- Chapter 16. “Biological Explanations as Cursory Covering Law Explanations” -- Chapter 17. “Explaining Cell Development: Stem Cells and Reprogramming” -- Chapter 18. “Explaining Causal Selection with Explanatory Causal Economy : Biology and Beyond”.Patterns of explanation in biology have long been recognized as different from those deployed in other scientific disciplines, especially physics. Celebrating the diversity of explanatory models found in biology, this volume details their varying types as well as their relationships to one another. It covers the key current debates in the philosophy of biology over the nature of explanation, and its apparent diversity that stems from a variety of historical, causal, mechanistic, or mathmatical explanatory practices. Offering a wealth of fresh analyses on the nature of explanation in contemporary biology chapters examine aspects ranging from the role of mathematics in explaining cell development to the complexities thrown up by evolutionary-developmental biology, where explanation is altered by multidisciplinarity itself. They cover major domains such as ecology and systems biology, as well as contemporary trends, such as the mechanistic explanations spawned by progress in molecular biology. With contributions from researchers of many different nationalities, the book provides a many-angled perspective on a revealing feature of the discipline of biology.History, Philosophy and Theory of the Life Sciences,2211-1956 ;11BiologyPhilosophySciencePhilosophyNeural networks (Computer science)Philosophy of BiologyPhilosophy of ScienceMathematical Models of Cognitive Processes and Neural NetworksBiologyPhilosophy.SciencePhilosophy.Neural networks (Computer science)Philosophy of Biology.Philosophy of Science.Mathematical Models of Cognitive Processes and Neural Networks.10501519570.1Braillard Pierre-Alainauthttp://id.loc.gov/vocabulary/relators/aut1224752Malaterre Christopheauthttp://id.loc.gov/vocabulary/relators/autBOOK9910484454803321Explanation in Biology2843769UNINA