Recursive nonlinear estimation : a geometric approach
In a close analogy to matching data in Euclidean space, this monograph views parameter estimation as matching of the empirical distribution of data with a model-based distribution. Using an appealing Pythagorean-like geometry of the empirical and model distributions, the book brings a new solution t...
Kaydedildi:
| Yazar: | |
|---|---|
| Materyal Türü: | Livre numérique |
| Dil: | Anglais |
| Baskı/Yayın Bilgisi: |
Berlin [etc.] :
Springer-Verlag London Limited : Springer e-books
[20..].
Cham : Springer Nature |
| Seri Bilgileri: | Lecture notes in control and information sciences
216 |
| Konular: | |
| Online Erişim: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Not: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Recursive nonlinear estimation, a geometric approach, Rudolf Kulhavý, Berlin, Springer, 1996, 1 vol (xvi, 224 p.), Lecture notes in control and information sciences, 3-540-76063-6 • Recursive Nonlinear Estimation, Texte imprimé, 9783662173404 |
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| 100 | 1 | |a Kulhavý, Rudolf, |d 1957- | |
| 245 | 1 | 0 | |a Recursive nonlinear estimation : |b a geometric approach |c Rudolf Kulhavý. |
| 260 | |a Berlin [etc.] : |b Springer-Verlag London Limited : |b Springer e-books. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Lecture notes in control and information sciences |v 216 |x 1610-7411 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 0 | |a Inference under constraints -- From matching data to matching probabilities -- Optimal estimation with compressed data -- Approximate estimation with compressed data -- Numerical implementation -- Concluding remarks -- Selected topics from probability theory -- Selected topics from convex optimization. | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a In a close analogy to matching data in Euclidean space, this monograph views parameter estimation as matching of the empirical distribution of data with a model-based distribution. Using an appealing Pythagorean-like geometry of the empirical and model distributions, the book brings a new solution to the problem of recursive estimation of non-Gaussian and nonlinear models which can be regarded as a specific approximation of Bayesian estimation. The cases of independent observations and controlled dynamic systems are considered in parallel; the former case giving initial insight into the latter case which is of primary interest to the control community. A number of examples illustrate the key concepts and tools used. This unique monograph follows some previous results on the Pythagorean theory of estimation in the literature (e.g., Chentsov, Csiszar and Amari) but extends the results to the case of controlled dynamic systems. | ||
| 650 | |a Systèmes | ||
| 650 | |a Statistique bayésienne | ||
| 650 | |a Estimation de paramètres | ||
| 650 | |a Ingénierie | ||
| 776 | 0 | |0 025504282 |t Recursive nonlinear estimation |o a geometric approach |f Rudolf Kulhavý |c Berlin |n Springer |d 1996 |p 1 vol (xvi, 224 p.) |s Lecture notes in control and information sciences |z 3-540-76063-6 | |
| 776 | 0 | |t Recursive Nonlinear Estimation |b Texte imprimé |z 9783662173404 | |
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