Efficient Monte Carlo simulation via the generalized splitting method
DOI10.1007/s11222-010-9201-4zbMath1322.65002DBLPjournals/sac/BotevK12OpenAlexW2059147320WikidataQ56689538 ScholiaQ56689538MaRDI QIDQ746173
Dirk P. Kroese, Zdravko I. Botev
Publication date: 16 October 2015
Published in: Statistics and Computing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11222-010-9201-4
importance samplingsplitting methodsequential Monte Carlocombinatorial countingMCMCrare-event probability estimationlevel-crossingBoolean satisfiability problemconvergence diagnosticfixed effortfixed splittingRESTART
Computational methods in Markov chains (60J22) Nonparametric estimation (62G05) Monte Carlo methods (65C05)
Related Items (27)
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Cites Work
- An efficient algorithm for rare-event probability estimation, combinatorial optimization, and counting
- Equi-energy sampler with applications in statistical inference and statistical mechanics
- The transform likelihood ratio method for rare event simulation with heavy tails
- The generalized cross entropy method, with applications to probability density estimation
- Sequential Monte Carlo for rare event estimation
- Rare event restart simulation of two-stage networks
- Effective branching splitting method under cost constraint
- Adaptive quadrature -- Revisited
- Inference from iterative simulation using multiple sequences
- Monte Carlo methods in Bayesian computation
- Sequential Monte Carlo Samplers
- Adaptive Multilevel Splitting for Rare Event Analysis
- Rare events, splitting, and quasi-Monte Carlo
- A large deviations perspective on the efficiency of multilevel splitting
- RARE EVENT SIMULATION
- Simulation and the Monte Carlo Method
- Monte Carlo strategies in scientific computing
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