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The book presents the basic concepts of Bayesian inference and demonstrates the power of the Bayesian method through numerous applications of particle filters to tracking and smoothing problems. It emphasizes target motion models that incorporate knowledge about the target¿s behavior in a natural fashion rather than assumptions made for mathematical convenience.
The background provided by this book allows a person to quickly become a productive member of a project team using Bayesian filtering and to develop new methods and techniques for problems the team may face.
The book presents the basic concepts of Bayesian inference and demonstrates the power of the Bayesian method through numerous applications of particle filters to tracking and smoothing problems. It emphasizes target motion models that incorporate knowledge about the target¿s behavior in a natural fashion rather than assumptions made for mathematical convenience.
The background provided by this book allows a person to quickly become a productive member of a project team using Bayesian filtering and to develop new methods and techniques for problems the team may face.
Provides a quick and insightful introduction to Bayesian Particle Filtering
Requires only basic knowledge of probability and statistics
Illustrates and motivates cardinal concepts with practical examples and minimal mathematical complexity
| Medium: | Buch |
|---|---|
| Inhalt: |
vi
118 S. 5 s/w Illustr. 53 farbige Illustr. 118 p. 58 illus. 53 illus. in color. |
| ISBN-13: | 9783031322419 |
| ISBN-10: | 303132241X |
| Sprache: | Englisch |
| Einband: | Gebunden |
| Autor: |
Stone, Lawrence D.
Anderson, Stephen L. Streit, Roy L. |
| Hersteller: |
Springer Nature Switzerland
Springer International Publishing Springer International Publishing AG |
| Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
| Maße: | 241 x 160 x 13 mm |
| Von/Mit: | Lawrence D. Stone (u. a.) |
| Erscheinungsdatum: | 01.06.2023 |
| Gewicht: | 0,382 kg |
Provides a quick and insightful introduction to Bayesian Particle Filtering
Requires only basic knowledge of probability and statistics
Illustrates and motivates cardinal concepts with practical examples and minimal mathematical complexity
| Medium: | Buch |
|---|---|
| Inhalt: |
vi
118 S. 5 s/w Illustr. 53 farbige Illustr. 118 p. 58 illus. 53 illus. in color. |
| ISBN-13: | 9783031322419 |
| ISBN-10: | 303132241X |
| Sprache: | Englisch |
| Einband: | Gebunden |
| Autor: |
Stone, Lawrence D.
Anderson, Stephen L. Streit, Roy L. |
| Hersteller: |
Springer Nature Switzerland
Springer International Publishing Springer International Publishing AG |
| Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
| Maße: | 241 x 160 x 13 mm |
| Von/Mit: | Lawrence D. Stone (u. a.) |
| Erscheinungsdatum: | 01.06.2023 |
| Gewicht: | 0,382 kg |
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