Simple conditions for convergence of sequential Monte Carlo genealogies with applications
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Publication:2042764
DOI10.1214/20-EJP561zbMath1480.60267arXiv2007.00096OpenAlexW3120461524MaRDI QIDQ2042764
Paul A. Jenkins, Suzie Brown, Jere Koskela, Adam M. Johansen
Publication date: 21 July 2021
Published in: Electronic Journal of Probability (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2007.00096
Monte Carlo methods (65C05) Stochastic particle methods (65C35) Coalescent processes (60J90) Applications of coalescent processes (60J95)
Related Items (3)
Weak convergence of non-neutral genealogies to Kingman's coalescent ⋮ Conditional sequential Monte Carlo in high dimensions ⋮ Scaling limit of the Fleming-Viot multicolor process
Cites Work
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- Interacting particle systems. With a new postface.
- Smoothing algorithms for state-space models
- The coalescent
- Nonlinear filtering and measure-valued processes
- Numerically stable online estimation of variance in particle filters
- Coalescent patterns in diploid exchangeable population models
- Asymptotic genealogies of interacting particle systems with an application to sequential Monte Carlo
- Negative association, ordering and convergence of resampling methods
- Exact coalescent for the Wright-Fisher model
- Sequential Monte Carlo Samplers
- Probability Models for DNA Sequence Evolution
- Robustness results for the coalescent
- Probability
- Variance estimation in the particle filter
- Particle Markov Chain Monte Carlo Methods
- An Introduction to Sequential Monte Carlo
- Smoothing With Couplings of Conditional Particle Filters
- Elements of Sequential Monte Carlo
- Path storage in the particle filter
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