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Structured Dependence Stochastic Processes by Bielecki Tomasz (21 results)
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Structured Dependence between Stochastic Processes
Published by Cambridge University Press, 2020
ISBN 10: 1107154251 ISBN 13: 9781107154254
Language: English
Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Structured Dependence between Stochastic Processes
Published by Cambridge University Press, 2020
ISBN 10: 1107154251 ISBN 13: 9781107154254
Language: English
Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Structured Dependence between Stochastic Processes
Published by Cambridge University Press, 2020
ISBN 10: 1107154251 ISBN 13: 9781107154254
Language: English
Condition: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
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Structured Dependence between Stochastic Processes (Encyclopedia of Mathematics and its Applications)
Published by Cambridge University Press CUP, 2020
ISBN 10: 1107154251 ISBN 13: 9781107154254
Language: English
Condition: New.
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Structured Dependence Between Stochastic Processes : Consistencies and Copulae
Published by Cambridge University Press, 2020
ISBN 10: 1107154251 ISBN 13: 9781107154254
Language: English
Condition: New.
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Structured Dependence between Stochastic Processes (Encyclopedia of Mathematics and its Applications)
Published by Cambridge University Press, 2020
ISBN 10: 1107154251 ISBN 13: 9781107154254
Language: English
Condition: New.
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Structured Dependence between Stochastic Processes (Encyclopedia of Mathematics and its Applications, Series Number 175)
Published by Cambridge University Press, 2020
ISBN 10: 1107154251 ISBN 13: 9781107154254
Language: English
Condition: New.
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Structured Dependence between Stochastic Processes (Encyclopedia of Mathematics and its Applications)
Published by Cambridge University Press, 2020
ISBN 10: 1107154251 ISBN 13: 9781107154254
Language: English
Condition: New.
-
Structured Dependence between Stochastic Processes (Encyclopedia of Mathematics and its Applications, Series Number 175)
Published by Cambridge University Press, 2020
ISBN 10: 1107154251 ISBN 13: 9781107154254
Language: English
Condition: New.
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Structured Dependence Between Stochastic Processes : Consistencies and Copulae
Published by Cambridge University Press, 2020
ISBN 10: 1107154251 ISBN 13: 9781107154254
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Structured Dependence between Stochastic Processes (Encyclopedia of Mathematics and its Applications, Series Number 175)
Published by Cambridge University Press, 2020
ISBN 10: 1107154251 ISBN 13: 9781107154254
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 159.81
US$ 15.73 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Structured Dependence Between Stochastic Processes : Consistencies and Copulae
Published by Cambridge University Press, 2020
ISBN 10: 1107154251 ISBN 13: 9781107154254
Language: English
Condition: As New. Unread book in perfect condition.
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Structured Dependence between Stochastic Processes (Hardcover)
Published by Cambridge University Press, Cambridge, 2020
ISBN 10: 1107154251 ISBN 13: 9781107154254
Language: English
Hardcover. Condition: new. Hardcover. The relatively young theory of structured dependence between stochastic processes has many real-life applications in areas including finance, insurance, seismology, neuroscience, and genetics. With this monograph, the first to be devoted to the modeling of structured dependence between random processes, the authors not only meet the demand for a solid theoretical account but also develop a stochastic processes counterpart of the classical copula theory that exists for finite-dimensional random variables. Presenting both the technical aspects and the applications of the theory, this is a valuable reference for researchers and practitioners in the field, as well as for graduate students in pure and applied mathematics programs. Numerous theoretical examples are included, alongside examples of both current and potential applications, aimed at helping those who need to model structured dependence between dynamic random phenomena. The theory of structured dependence has many real-life applications in areas such as finance, insurance, seismology, neuroscience, and genetics. The first book to be devoted to this research area, this is a useful tool for researchers and practitioners in the field, as well as graduate students. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Fundamentals of the Theory of Structured Dependence Between Stochastic Processes: Consistencies and Copulae
Published by Cambridge University Press, 2020
ISBN 10: 1107154251 ISBN 13: 9781107154254
Language: English
Hardcover. Condition: Brand New. 269 pages. 9.00x6.25x1.00 inches. In Stock.
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Structured Dependence Between Stochastic Processes : Consistencies and Copulae
Published by Cambridge University Press, 2020
ISBN 10: 1107154251 ISBN 13: 9781107154254
Language: English
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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Structured Dependence between Stochastic Processes (Hardcover)
Published by Cambridge University Press, Cambridge, 2020
ISBN 10: 1107154251 ISBN 13: 9781107154254
Language: English
Hardcover. Condition: new. Hardcover. The relatively young theory of structured dependence between stochastic processes has many real-life applications in areas including finance, insurance, seismology, neuroscience, and genetics. With this monograph, the first to be devoted to the modeling of structured dependence between random processes, the authors not only meet the demand for a solid theoretical account but also develop a stochastic processes counterpart of the classical copula theory that exists for finite-dimensional random variables. Presenting both the technical aspects and the applications of the theory, this is a valuable reference for researchers and practitioners in the field, as well as for graduate students in pure and applied mathematics programs. Numerous theoretical examples are included, alongside examples of both current and potential applications, aimed at helping those who need to model structured dependence between dynamic random phenomena. The theory of structured dependence has many real-life applications in areas such as finance, insurance, seismology, neuroscience, and genetics. The first book to be devoted to this research area, this is a useful tool for researchers and practitioners in the field, as well as graduate students. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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International EditionSTRUCTURED DEPENDENCE BETWEEN STOCHASTIC PROCESSES
Published by CAMBRIDGE UNIVERSITY PRESS, 2020
ISBN 10: 1107154251 ISBN 13: 9781107154254
Language: English
Hardcover. Condition: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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Structured Dependence between Stochastic Processes (Encyclopedia of Mathematics and its Applications, Series Number 175)
Published by Cambridge University Press, 2020
ISBN 10: 1107154251 ISBN 13: 9781107154254
Language: English
Hardcover. Condition: New. New. book.
-
Structured Dependence between Stochastic Processes (Hardcover)
Published by Cambridge University Press, Cambridge, 2020
ISBN 10: 1107154251 ISBN 13: 9781107154254
Language: English
Hardcover. Condition: new. Hardcover. The relatively young theory of structured dependence between stochastic processes has many real-life applications in areas including finance, insurance, seismology, neuroscience, and genetics. With this monograph, the first to be devoted to the modeling of structured dependence between random processes, the authors not only meet the demand for a solid theoretical account but also develop a stochastic processes counterpart of the classical copula theory that exists for finite-dimensional random variables. Presenting both the technical aspects and the applications of the theory, this is a valuable reference for researchers and practitioners in the field, as well as for graduate students in pure and applied mathematics programs. Numerous theoretical examples are included, alongside examples of both current and potential applications, aimed at helping those who need to model structured dependence between dynamic random phenomena. The theory of structured dependence has many real-life applications in areas such as finance, insurance, seismology, neuroscience, and genetics. The first book to be devoted to this research area, this is a useful tool for researchers and practitioners in the field, as well as graduate students. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Fundamentals of the Theory of Structured Dependence between Stochastic Processes: Consistencies and Copulae
Published by Cambridge University Press, 2020
ISBN 10: 1107154251 ISBN 13: 9781107154254
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 175.70
US$ 22.00 shipping 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 600.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The theory of structured dependence has many real-life applications in areas such as finance, insurance, seismology, neuroscience, and genetics. The first book to be devoted to this research area, this is a useful tool for researchers and practitioners in t.
