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...

Description complète

Enregistré dans:
Détails bibliographiques
Auteur principal: Haug, Anton J., 1941-
Collectivité auteur: ebrary, Inc
Format: Électronique eBook
Langue:anglais
Publié: Hoboken, N.J. : Wiley, 2012.
Sujets:
Accès en ligne:An electronic book accessible through the World Wide Web; click to view
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
Table des matières:
  • pt. 1. Preliminaries
  • pt. 2. The Gaussian assumption : a family of Kalman filter estimators
  • pt. 3. Monte Carlo methods
  • pt. 4. Additional case studies.