Stochastic Evolution Systems. Linear Theory and Applications to Non-Linear Filtering
2nd edition
Par : , Formats :
- Paiement en ligne :
- Livraison à domicile ou en point Mondial Relay indisponible
- Retrait Click and Collect en magasin gratuit
- Réservation en ligne avec paiement en magasin :
- Indisponible pour réserver et payer en magasin
- Nombre de pages330
- PrésentationRelié
- FormatGrand Format
- Poids0.675 kg
- Dimensions16,2 cm × 24,4 cm × 2,5 cm
- ISBN978-3-319-94892-8
- EAN9783319948928
- Date de parution01/01/2018
- CollectionProbability Theory and Stochas
- ÉditeurSpringer Nature
Résumé
This monograph, now in a thoroughly revised second edition, develops the theory of stochastic calculus in Hilbert spaces and applies the results to the study of generalized solutions of stochastic parabolic equations. The emphasis lies on second-order stochastic parabolic equations and their connection to random dynamical systems. The authors further explore applications to the theory of optimal non-linear filtering, prediction, and smoothing of partially observed diffusion processes.
The new edition now also includes a chapter on chaos expansion for linear stochastic evolution systems. The volume will appeal to anyone working in disciplines that require tools from stochastic analysis and PDEs, including pure mathematics, financial mathematics, engineering and physics.
The new edition now also includes a chapter on chaos expansion for linear stochastic evolution systems. The volume will appeal to anyone working in disciplines that require tools from stochastic analysis and PDEs, including pure mathematics, financial mathematics, engineering and physics.
This monograph, now in a thoroughly revised second edition, develops the theory of stochastic calculus in Hilbert spaces and applies the results to the study of generalized solutions of stochastic parabolic equations. The emphasis lies on second-order stochastic parabolic equations and their connection to random dynamical systems. The authors further explore applications to the theory of optimal non-linear filtering, prediction, and smoothing of partially observed diffusion processes.
The new edition now also includes a chapter on chaos expansion for linear stochastic evolution systems. The volume will appeal to anyone working in disciplines that require tools from stochastic analysis and PDEs, including pure mathematics, financial mathematics, engineering and physics.
The new edition now also includes a chapter on chaos expansion for linear stochastic evolution systems. The volume will appeal to anyone working in disciplines that require tools from stochastic analysis and PDEs, including pure mathematics, financial mathematics, engineering and physics.