[DOWNLOAD] "Convolution Copula Econometrics" by Umberto Cherubini, Fabio Gobbi & Sabrina Mulinacci # Book PDF Kindle ePub Free

eBook details
- Title: Convolution Copula Econometrics
- Author : Umberto Cherubini, Fabio Gobbi & Sabrina Mulinacci
- Release Date : January 01, 2016
- Genre: Economics,Books,Business & Personal Finance,Science & Nature,Mathematics,
- Pages : * pages
- Size : 3097 KB
Description
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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