The design and analysis of a generalized RESTART/DPR algorithm for rare event simulation
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Publication:666351
DOI10.1007/s10479-009-0664-7zbMath1236.60029OpenAlexW2010764906MaRDI QIDQ666351
Publication date: 8 March 2012
Published in: Annals of Operations Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10479-009-0664-7
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Cites Work
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- A viscosity solution approach to the asymptotic analysis of queueing systems
- Importance sampling for Jackson networks
- Rare event restart simulation of two-stage networks
- Importance sampling for a Markov modulated queuing network
- Splitting for rare event simulation: A large deviation approach to design and analysis
- Computable bounds for geometric convergence rates of Markov chains
- Dynamic importance sampling for queueing networks
- Stochastic simulation: Algorithms and analysis
- Multilevel Splitting for Estimating Rare Event Probabilities
- Rare events, splitting, and quasi-Monte Carlo
- The estimation of standard errors in Monte Carlo simulation experiments
- Markov Chains
- A large deviations perspective on the efficiency of multilevel splitting
- The theory of direct probability redistribution and its application to rare event simulation
- Minimal Entropy Approximations and Optimal Algorithms
- Subsolutions of an Isaacs Equation and Efficient Schemes for Importance Sampling
- Optimal control and viscosity solutions of Hamilton-Jacobi-Bellman equations
- Lectures on Monte Carlo methods