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Beschreibung
This book covers the development of methods for detection and estimation of changes in complex systems. These systems are generally described by nonstationary stochastic models, which comprise both static and dynamic regimes, linear and nonlinear dynamics, and constant and time-variant structures of such systems. It covers both retrospective and
This book covers the development of methods for detection and estimation of changes in complex systems. These systems are generally described by nonstationary stochastic models, which comprise both static and dynamic regimes, linear and nonlinear dynamics, and constant and time-variant structures of such systems. It covers both retrospective and
Über den Autor

Boris Brodsky

Inhaltsverzeichnis

I Retrospective Problems

1 Preliminary considerations

2 General Retrospective Disorder Problem

3 Retrospective Detection and Estimation of Stochastic Trends

4 Retrospective Detection and Estimation of Switches in Univariate Models

5 Retrospective change-point detection and estimation in multivariate stochastic models

6 Retrospective Detection of Change-Points in State-Space Models

7 Copula, GARCH, and Other Financial Models

II Sequential Problems

8 Sequential hypothesis testing

9 Sequential change-point detection for univariate models

10 Sequential Change-Point Detection in Multivariate Models

11 Early change-point detection

12 Sequential Detection of Switches in Models with Changing Structures

13 Sequential detection and estimation of change-points

Bibliography

Index

Details
Erscheinungsjahr: 2022
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Importe, Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: Einband - flex.(Paperback)
ISBN-13: 9781032402208
ISBN-10: 1032402202
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Brodsky, Boris
Hersteller: CRC Press
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 236 x 152 x 23 mm
Von/Mit: Boris Brodsky
Erscheinungsdatum: 29.08.2022
Gewicht: 0,499 kg
Artikel-ID: 130026511

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