Reversed particle filtering for hidden Markov models
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Publication:6570336
DOI10.1007/S11222-024-10426-4zbMATH Open1541.6202MaRDI QIDQ6570336
Stephen G. Walker, Frank Rotiroti
Publication date: 10 July 2024
Published in: Statistics and Computing (Search for Journal in Brave)
Computational methods for problems pertaining to statistics (62-08) Inference from stochastic processes and prediction (62M20)
Cites Work
- Title not available (Why is that?)
- Title not available (Why is that?)
- Analysis of high dimensional multivariate stochastic volatility models
- Simulated likelihood inference for stochastic volatility models using continuous particle filtering
- Particle filters for continuous likelihood evaluation and maximisation
- Smoothing algorithms for state-space models
- Slice sampling. (With discussions and rejoinder)
- Bayesian inference and the parametric bootstrap
- Efficient sampling methods for truncated multivariate normal and Student-\(t\) distributions subject to linear inequality constraints
- Particle filters and Bayesian inference in financial econometrics
- Auxiliary Likelihood-Based Approximate Bayesian Computation in State Space Models
- A sequential smoothing algorithm with linear computational cost
- Multivariate Stochastic Volatility
- Sequential Imputations and Bayesian Missing Data Problems
- Multivariate Stochastic Variance Models
- Sequential Monte Carlo Methods for Dynamic Systems
- Filtering via Simulation: Auxiliary Particle Filters
- Particle Markov Chain Monte Carlo Methods
- Monte Carlo Smoothing for Nonlinear Time Series
- Analysis of Financial Time Series
- Multivariate Stochastic Volatility Model With Realized Volatilities and Pairwise Realized Correlations
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