Nonlinear Filtering with Fractional Brownian Motion Noise
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Publication:4678745
DOI10.1081/SAP-200044429zbMath1068.60059OpenAlexW2123913724MaRDI QIDQ4678745
Publication date: 23 May 2005
Published in: Stochastic Analysis and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1081/sap-200044429
Inference from stochastic processes and prediction (62M20) Filtering in stochastic control theory (93E11) Nonlinear systems in control theory (93C10) Control/observation systems governed by functional-differential equations (93C23) Signal detection and filtering (aspects of stochastic processes) (60G35)
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Cites Work
- Unnamed Item
- Unnamed Item
- Weak limit theorems for stochastic integrals and stochastic differential equations
- Filtering and parameter estimation in a simple linear system driven by a fractional Brownian motion
- An elementary approach to a Girsanov formula and other analytical results on fractional Brownian motions
- Linear filtering with fractional Brownian motion in the signal and observation processes
- Convergence in distribution of conditional expectations
- Abstract nonlinear filtering theory in the presence of fractional Brownian motion
- Extension of the Kalman-Bucy filter to elementary linear systems with fractional Brownian noises
- Uniqueness and robustness of solution of measure-valued equations of nonlinear filtering
- Dynamical equations for optimal nonlinear filtering
- General approach to filtering with fractional brownian noises — application to linear systems
- Signal detection in fractional Gaussian noise
- Linear filtering with fractional brownian motion
- A Bayes Formula for Gaussian Noise Processes and its Applications
- On the optimal filtering of diffusion processes