A numerical filtering method for linear state‐space models with Markov switching
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Publication:5003419
DOI10.1002/acs.3109zbMath1469.93103OpenAlexW3014364062MaRDI QIDQ5003419
Christopher McLean, Michael Pauley, Jonathan H. Manton
Publication date: 22 July 2021
Published in: International Journal of Adaptive Control and Signal Processing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/acs.3109
Filtering in stochastic control theory (93E11) Discrete-time control/observation systems (93C55) Linear systems in control theory (93C05)
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Cites Work
- Unnamed Item
- Digital synthesis of non-linear filters
- Advanced point-mass method for nonlinear state estimation
- Detection and estimation for abruptly changing systems
- Dynamic linear models with Markov-switching
- A multiple model multiple hypothesis filter for Markovian switching systems
- Inference in hidden Markov models.
- Finite mixture and Markov switching models.
- On real eigenvalues of complex matrices
- Exogeneity
- The interacting multiple model algorithm for systems with Markovian switching coefficients
- A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle
- Discrete time filters for doubly stochastic poisson processes and other exponential noise models
- Anticipative grid design in point-mass approach to nonlinear state estimation
- Efficient particle filtering for jump markov systems. Application to time-varying autoregressions