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Convolution Copula econometrics
~
Cherubini, Umberto.
Convolution Copula econometrics
Record Type:
Electronic resources : Monograph/item
Title/Author:
Convolution Copula econometricsby Umberto Cherubini, Fabio Gobbi, Sabrina Mulinacci.
Author:
Cherubini, Umberto.
other author:
Gobbi, Fabio.
Published:
Cham :Springer International Publishing :2016.
Description:
x, 90 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Copulas (Mathematical statistics)
Online resource:
http://dx.doi.org/10.1007/978-3-319-48015-2
ISBN:
9783319480152$q(electronic bk.)
Convolution Copula econometrics
Cherubini, Umberto.
Convolution Copula econometrics
[electronic resource] /by Umberto Cherubini, Fabio Gobbi, Sabrina Mulinacci. - Cham :Springer International Publishing :2016. - x, 90 p. :ill., digital ;24 cm. - SpringerBriefs in statistics,2191-544X. - SpringerBriefs in statistics..
Preface -- The Dynamics of Economic Variables -- Estimation of Copula Models -- Copulas and Estimation of Markov Processes -- Copula-based Markov Processes: Estimation, Mixing Properties and Long-term Behavior -- Convolution-based Processes -- Application to Interest Rates.
This book presents a novel approach to time series econometrics, which studies the behavior of nonlinear stochastic processes. This approach allows for an arbitrary dependence structure in the increments and provides a generalization with respect to the standard linear independent increments assumption of classical time series models. The book offers a solution to the problem of a general semiparametric approach, which is given by a concept called C-convolution (convolution of dependent variables), and the corresponding theory of convolution-based copulas. Intended for econometrics and statistics scholars with a special interest in time series analysis and copula functions (or other nonparametric approaches), the book is also useful for doctoral students with a basic knowledge of copula functions wanting to learn about the latest research developments in the field.
ISBN: 9783319480152$q(electronic bk.)
Standard No.: 10.1007/978-3-319-48015-2doiSubjects--Topical Terms:
247625
Copulas (Mathematical statistics)
LC Class. No.: QA273.6
Dewey Class. No.: 519.535
Convolution Copula econometrics
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by Umberto Cherubini, Fabio Gobbi, Sabrina Mulinacci.
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Preface -- The Dynamics of Economic Variables -- Estimation of Copula Models -- Copulas and Estimation of Markov Processes -- Copula-based Markov Processes: Estimation, Mixing Properties and Long-term Behavior -- Convolution-based Processes -- Application to Interest Rates.
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This book presents a novel approach to time series econometrics, which studies the behavior of nonlinear stochastic processes. This approach allows for an arbitrary dependence structure in the increments and provides a generalization with respect to the standard linear independent increments assumption of classical time series models. The book offers a solution to the problem of a general semiparametric approach, which is given by a concept called C-convolution (convolution of dependent variables), and the corresponding theory of convolution-based copulas. Intended for econometrics and statistics scholars with a special interest in time series analysis and copula functions (or other nonparametric approaches), the book is also useful for doctoral students with a basic knowledge of copula functions wanting to learn about the latest research developments in the field.
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Mathematics and Statistics (Springer-11649)
based on 0 review(s)
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EB QA273.6 C523 2016
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1 records • Pages 1 •
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http://dx.doi.org/10.1007/978-3-319-48015-2
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