A Wasserstein coupled particle filter for multilevel estimation
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Publication:6073377
DOI10.1080/07362994.2022.2081181arXiv2004.03981OpenAlexW3015592047MaRDI QIDQ6073377
Ajay Jasra, Erik von Schwerin, Raúl Tempone, Marco Ballesio
Publication date: 17 October 2023
Published in: Stochastic Analysis and Applications (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2004.03981
Cites Work
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- On particle methods for parameter estimation in state-space models
- On adaptive resampling strategies for sequential Monte Carlo methods
- Multilevel sequential Monte Carlo samplers
- On multidimensional curves with Hilbert property
- On coupling particle filter trajectories
- Multilevel particle filters: normalizing constant estimation
- Adaptive Euler-Maruyama method for SDEs with non-globally Lipschitz drift
- Inference in hidden Markov models.
- Multilevel Monte Carlo method for ergodic SDEs without contractivity
- Multilevel Ensemble Transform Particle Filtering
- Multilevel Monte Carlo Path Simulation
- Particle Filters for Partially Observed Diffusions
- Multilevel Monte Carlo for Smoothing via Transport Methods
- Multilevel Particle Filters
- Bayesian Static Parameter Estimation for Partially Observed Diffusions via Multilevel Monte Carlo
- Unbiased Inference for Discretely Observed Hidden Markov Model Diffusions
- Central limit theorems for coupled particle filters
- The Monte-Carlo method for filtering with discrete-time observations
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