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MACHINE LEARNING FOR FINANCIAL ENGINEERING (Advances in Computer Science and Engineering: Texts)
Language: English
Published by Imperial College Press, 2012
ISBN 10: 1848168136 ISBN 13: 9781848168138
hardcover. Condition: Very Good. Fast Shipping - Safe and Secure 7 days a week!
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State-Space Approaches for Modelling and Control in Financial Engineering: Systems theory and machine learning methods (Intelligent Systems Reference Library, 125)
Book 98 of 188: Intelligent Systems Reference LibrarySeller: Michael Knight, Bookseller, Forest Grove, OR, U.S.A.
Seller rating 5 out of 5 stars
paperback. Condition: Very Good. Paperback. Wear and creasing to front cover. Otherwise, clean and solid.
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Machine Learning for Financial Engineering
Language: English
Published by Imperial College Press, 2012
ISBN 10: 1848168136 ISBN 13: 9781848168138
Condition: New.
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Machine Learning For Financial Engineering
Language: English
Published by Imperial College Press, 2012
ISBN 10: 1848168136 ISBN 13: 9781848168138
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Hardcover. Condition: As New. 1. Auflage. Unread, like new. Immediately dispatched from Germany.
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Machine Learning For Financial Engineering
Language: English
Published by Imperial College Press, 2012
ISBN 10: 1848168136 ISBN 13: 9781848168138
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Machine Learning for Financial Engineering
Language: English
Published by Imperial College Press, 2012
ISBN 10: 1848168136 ISBN 13: 9781848168138
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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MACHINE LEARNING FOR FINANCIAL ENGINEERING (Advances in Computer Science and Engineering: Texts)
Language: English
Published by Imperial College Press, 2012
ISBN 10: 1848168136 ISBN 13: 9781848168138
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Machine Learning For Financial Engineering
Language: English
Published by Imperial College Press, 2012
ISBN 10: 1848168136 ISBN 13: 9781848168138
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. New copy - Usually dispatched within 4 working days.
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Condition: As New. Unread book in perfect condition.
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State-Space Approaches for Modelling and Control in Financial Engineering: Systems theory and machine learning methods (Intelligent Systems Reference Library, 125)
Book 98 of 188: Intelligent Systems Reference LibrarySeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 96.15
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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State-Space Approaches for Modelling and Control in Financial Engineering: Systems theory and machine learning methods (Intelligent Systems Reference Library, 125)
Book 98 of 188: Intelligent Systems Reference LibrarySeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 96.15
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Condition: New. Softcover reprint of the original 1st ed. 2017 edition NO-PA16APR2015-KAP.
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State-space Approaches for Modelling and Control in Financial Engineering : Systems Theory and Machine Learning Methods
Book 98 of 188: Intelligent Systems Reference LibrarySeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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State-space Approaches for Modelling and Control in Financial Engineering : Systems Theory and Machine Learning Methods
Book 98 of 188: Intelligent Systems Reference LibrarySeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 107.94
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Hardcover. Condition: Brand New. 250 pages. 9.25x6.25x0.75 inches. In Stock.
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State-space Approaches for Modelling and Control in Financial Engineering: Systems Theory and Machine Learning Methods
Book 98 of 188: Intelligent Systems Reference LibraryLanguage: English
Published by Springer-Verlag New York Inc, 2017
ISBN 10: 3319528653 ISBN 13: 9783319528656
Hardcover. Condition: Brand New. 340 pages. 9.25x6.10x1.10 inches. In Stock.
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Taschenbuch. Condition: Neu. State-Space Approaches for Modelling and Control in Financial Engineering | Systems theory and machine learning methods | Gerasimos G. Rigatos | Taschenbuch | Intelligent Systems Reference Library | xxviii | Englisch | 2018 | Springer | EAN 9783319850047 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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State-Space Approaches for Modelling and Control in Financial Engineering : Systems theory and machine learning methods
Book 98 of 188: Intelligent Systems Reference LibraryLanguage: English
Published by Springer International Publishing, Springer International Publishing, 2018
ISBN 10: 3319850040 ISBN 13: 9783319850047
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The book conclusively solves problems associated with the control and estimation of nonlinear and chaotic dynamics in financial systems when these are described in the form of nonlinear ordinary di erential equations. It then addresses problems associated with the control and estimation of financial systems governed by partial di erential equations (e.g. the Black-Scholes partial differential equation (PDE) and its variants). Lastly it an offers optimal solution to the problem of statistical validation of computational models and tools used to support financial engineers in decision making.The application of state-space models in financial engineering means that the heuristics and empirical methods currently in use in decision-making procedures for finance can be eliminated. It also allows methods of fault-free performance and optimality in the management of assets and capitals and methods assuring stability in the functioning of financial systems to be established.Coveringthe following key areas of financial engineering: (i) control and stabilization of financial systems dynamics, (ii) state estimation and forecasting, and (iii) statistical validation of decision-making tools, the book can be used for teaching undergraduate or postgraduate courses in financial engineering. It is also a useful resource for the engineering and computer science community.
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State-Space Approaches for Modelling and Control in Financial Engineering : Systems theory and machine learning methods
Book 98 of 188: Intelligent Systems Reference LibraryLanguage: English
Published by Springer International Publishing, 2017
ISBN 10: 3319528653 ISBN 13: 9783319528656
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The book conclusively solves problems associated with the control and estimation of nonlinear and chaotic dynamics in financial systems when these are described in the form of nonlinear ordinary di erential equations. It then addresses problems associated with the control and estimation of financial systems governed by partial di erential equations (e.g. the Black-Scholes partial differential equation (PDE) and its variants). Lastly it an offers optimal solution to the problem of statistical validation of computational models and tools used to support financial engineers in decision making.The application of state-space models in financial engineering means that the heuristics and empirical methods currently in use in decision-making procedures for finance can be eliminated. It also allows methods of fault-free performance and optimality in the management of assets and capitals and methods assuring stability in the functioning of financial systems to be established.Coveringthe following key areas of financial engineering: (i) control and stabilization of financial systems dynamics, (ii) state estimation and forecasting, and (iii) statistical validation of decision-making tools, the book can be used for teaching undergraduate or postgraduate courses in financial engineering. It is also a useful resource for the engineering and computer science community.
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Machine Learning for Financial Engineering
Language: English
Published by Imperial College Press, 2012
ISBN 10: 1848168136 ISBN 13: 9781848168138
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Machine Learning for Financial Engineering (Advances in Computer Science and Engineering: Texts)
Language: English
Published by Imperial College Press, 2012
ISBN 10: 1848168136 ISBN 13: 9781848168138
Hardcover. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Machine Learning for Financial Engineering
Language: English
Published by Imperial College Press, 2012
ISBN 10: 1848168136 ISBN 13: 9781848168138
Condition: As New. Unread book in perfect condition.
-
Hardcover. Condition: Brand New. 250 pages. 9.25x6.25x0.75 inches. In Stock. This item is printed on demand.
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Machine Learning For Financial Engineering
Language: English
Published by Imperial College Press, 2012
ISBN 10: 1848168136 ISBN 13: 9781848168138
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 100.54
£ 15.75 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketHardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
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Machine Learning for Financial Engineering
Language: English
Published by IMPERIAL COLLEGE PRESS, 2012
ISBN 10: 1848168136 ISBN 13: 9781848168138
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Investigates algorithmic methods based on machine learning in order to design sequential investment strategies for financial markets. This title is suitable for researchers and graduate students in computer science, finance, statistics, mathematics, and eng.
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