Bilinear Stochastic Models and Related Problems of Nonlinear Time Series Analysis

Bilinear Stochastic Models and Related Problems of Nonlinear Time Series Analysis
Author :
Publisher : Springer Science & Business Media
Total Pages : 275
Release :
ISBN-10 : 9781461215523
ISBN-13 : 1461215528
Rating : 4/5 (23 Downloads)

Book Synopsis Bilinear Stochastic Models and Related Problems of Nonlinear Time Series Analysis by : György Terdik

Download or read book Bilinear Stochastic Models and Related Problems of Nonlinear Time Series Analysis written by György Terdik and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: The object of the present work is a systematic statistical analysis of bilinear processes in the frequency domain. The first two chapters are devoted to the basic theory of nonlinear functions of stationary Gaussian processes, Hermite polynomials, cumulants and higher order spectra, multiple Wiener-Itô integrals and finally chaotic Wiener-Itô spectral representation of subordinated processes. There are two chapters for general nonlinear time series problems.


Bilinear Stochastic Models and Related Problems of Nonlinear Time Series Analysis Related Books

Bilinear Stochastic Models and Related Problems of Nonlinear Time Series Analysis
Language: en
Pages: 275
Authors: György Terdik
Categories: Mathematics
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

The object of the present work is a systematic statistical analysis of bilinear processes in the frequency domain. The first two chapters are devoted to the bas
Stochastic Processes: Modeling and Simulation
Language: en
Pages: 1028
Authors: D N Shanbhag
Categories: Computers
Type: BOOK - Published: 2003-02-24 - Publisher: Gulf Professional Publishing

DOWNLOAD EBOOK

This sequel to volume 19 of Handbook on Statistics on Stochastic Processes: Modelling and Simulation is concerned mainly with the theme of reviewing and, in som
Nonlinear Time Series
Language: en
Pages: 565
Authors: Jianqing Fan
Categories: Mathematics
Type: BOOK - Published: 2008-09-11 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This is the first book that integrates useful parametric and nonparametric techniques with time series modeling and prediction, the two important goals of time
Non-Linear Time Series
Language: en
Pages: 255
Authors: Kamil Feridun Turkman
Categories: Mathematics
Type: BOOK - Published: 2014-09-29 - Publisher: Springer

DOWNLOAD EBOOK

This book offers a useful combination of probabilistic and statistical tools for analyzing nonlinear time series. Key features of the book include a study of th
Elements of Nonlinear Time Series Analysis and Forecasting
Language: en
Pages: 626
Authors: Jan G. De Gooijer
Categories: Mathematics
Type: BOOK - Published: 2017-03-30 - Publisher: Springer

DOWNLOAD EBOOK

This book provides an overview of the current state-of-the-art of nonlinear time series analysis, richly illustrated with examples, pseudocode algorithms and re