On the Convergence of Quantum and Sequential Monte Carlo Methods
From MaRDI portal
Publication:2926225
DOI10.1007/978-3-642-41095-6_17zbMath1302.65005OpenAlexW44329879MaRDI QIDQ2926225
Pierre Del Moral, François Giraud
Publication date: 31 October 2014
Published in: Springer Proceedings in Mathematics & Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-3-642-41095-6_17
sequential Monte Carlo methodFeynman-Kac modelsquantum Monte Carlo methodMarkov transitionBoltzmann-Gibbs measures' samplinggenetic type search algorithmMarkov chain Monte Carlo iterations
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Nonasymptotic analysis of adaptive and annealed Feynman-Kac particle models
- Concentration inequalities for mean field particle models
- Sequential Monte Carlo for rare event estimation
- A nonasymptotic theorem for unnormalized Feynman-Kac particle models
- Sequential Monte Carlo on large binary sampling spaces
- Central limit theorem for nonlinear filtering and interacting particle systems
- Large deviations for interacting particle systems: Applications to non-linear filtering
- Recursive Monte Carlo filters: algorithms and theoretical analysis
- Central limit theorem for sequential Monte Carlo methods and its application to Bayesian inference
- Inference in hidden Markov models.
- Inference for Lévy-Driven Stochastic Volatility Models via Adaptive Sequential Monte Carlo
- Sequential Monte Carlo Samplers
- Convergence of empirical processes for interacting particle systems with applications to nonlinear filtering
- On the stability of interacting processes with applications to filtering and genetic algorithms
This page was built for publication: On the Convergence of Quantum and Sequential Monte Carlo Methods