Verlag: Cambridge University Press, 2020
ISBN 10: 1107154251 ISBN 13: 9781107154254
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Verlag: Cambridge University Press, 2020
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In den WarenkorbZustand: New. 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.
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In den WarenkorbBuch. Zustand: Neu. Neuware - 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.
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In den WarenkorbHardcover. Zustand: 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.
Verlag: Cambridge University Press, 2020
ISBN 10: 1107154251 ISBN 13: 9781107154254
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Verlag: Cambridge University Press, 2020
ISBN 10: 1107154251 ISBN 13: 9781107154254
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Verlag: Cambridge University Press, Cambridge, 2020
ISBN 10: 1107154251 ISBN 13: 9781107154254
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In den WarenkorbHardcover. Zustand: 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.
Verlag: Cambridge University Press, Cambridge, 2020
ISBN 10: 1107154251 ISBN 13: 9781107154254
Sprache: Englisch
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In den WarenkorbHardcover. Zustand: 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.
Verlag: Cambridge University Press, 2020
ISBN 10: 1107154251 ISBN 13: 9781107154254
Sprache: Englisch
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