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Convolution Copula Econometrics

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Convolution Copula Econometrics/ by Umberto Cherubini, Fabio Gobbi, Sabrina Mulinacci.
作者:	Cherubini, Umberto.
其他作者:	Gobbi, Fabio.
面頁冊數:	X, 90 p. 31 illus., 30 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Statistics . -
電子資源:	https://doi.org/10.1007/978-3-319-48015-2
ISBN:	9783319480152

Convolution Copula Econometrics
Cherubini, Umberto.

Convolution Copula Econometrics[electronic resource] /by Umberto Cherubini, Fabio Gobbi, Sabrina Mulinacci. - 1st ed. 2016. - X, 90 p. 31 illus., 30 illus. in color.online resource. - SpringerBriefs in Statistics,2191-544X. - SpringerBriefs in Statistics,0.

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

Standard No.: 10.1007/978-3-319-48015-2doiSubjects--Topical Terms:

1253516
Statistics .

LC Class. No.: QA276-280

Dewey Class. No.: 330.015195

Convolution Copula Econometrics
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