Stable and Efficient Cubature-based Filtering in Dynamical Systems - Dominik Ballreich

Stable and Efficient Cubature-based Filtering in Dynamical Systems

Buch | Softcover
XVII, 160 Seiten
2018 | 1. Softcover reprint of the original 1st ed. 2017
Springer International Publishing (Verlag)
978-3-319-87239-1 (ISBN)
90,94 inkl. MwSt
The book addresses the problem of calculation of d-dimensional integrals (conditional expectations) in filter problems. It develops new methods of deterministic numerical integration, which can be used to speed up and stabilize filter algorithms. With the help of these methods, better estimates and predictions of latent variables are made possible in the fields of economics, engineering and physics. The resulting procedures are tested within four detailed simulation studies.

Dominik Ballreich is a research assistant at the Chair for Applied Statistics and Methods of Empirical Social Research at the University of Hagen. His research interests lie in the fields of recursive Bayesian estimation, numerical integration and heuristic optimization.

Introduction.- Filtering in Dynamical Systems.- Deterministic Numerical Integration.- Optimization and Stabilization of Cubature Rules.- Simulation Studies.- Results.- Appendices.- Index.- Bibliography.

Erscheinungsdatum
Zusatzinfo XVII, 160 p. 19 illus., 14 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 2818 g
Themenwelt Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
Wirtschaft Allgemeines / Lexika
Schlagworte Cubature Kalman filter • Deterministic numerical integration • Filtering in dynamical systems • Ginzburg-Landau model • Kalman Filter • Lorenz model • maximum likelihood estimation • Numerical Integration • Optimization and stabilization of cubature rules • Recursive Bayesian estimation • Six-dimentional coordinated turn model • Smolyak cubature • Smolyak cubature rules with an approximate degree • Smolyak cubature rules with an approximate degree of exactness • State-space Models • Univariate non-stationary growth model
ISBN-10 3-319-87239-7 / 3319872397
ISBN-13 978-3-319-87239-1 / 9783319872391
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich
Erfolg und Spaß im Horrorfach nichttechnischer Studiengänge

von Markus Oestreich; Oliver Romberg

Buch | Softcover (2023)
Springer Spektrum (Verlag)
39,99

von Jim Sizemore; John Paul Mueller

Buch | Softcover (2024)
Wiley-VCH (Verlag)
28,00
Eine Einführung in die faszinierende Welt des Zufalls

von Norbert Henze

Buch | Softcover (2024)
Springer Spektrum (Verlag)
39,99