Bayesian estimation and tracking a practical guide /

"This book presents a practical approach to estimation methods that are designed to provide a clear path to programming all algorithms. Readers are provided with a firm understanding of Bayesian estimation methods and their interrelatedness. Starting with fundamental principles of Bayesian theo...

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Bibliografske podrobnosti
Glavni avtor: Haug, Anton J., 1941-
Korporativna značnica: ebrary, Inc
Format: Elektronski eKnjiga
Jezik:angleščina
Izdano: Hoboken, N.J. : Wiley, 2012.
Teme:
Online dostop:An electronic book accessible through the World Wide Web; click to view
Oznake: Označite
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Kazalo:
  • pt. 1. Preliminaries
  • pt. 2. The Gaussian assumption : a family of Kalman filter estimators
  • pt. 3. Monte Carlo methods
  • pt. 4. Additional case studies.