The Markov chain Monte Carlo method: an approach to approximate counting and integration
Approximation algorithms for NP-hard problems
Levy walk evolution for global optimization
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Computing the principal eigenelements of some linear operators using a branching Monte Carlo method
Journal of Computational Physics
Estimating the probability of false alarm for a zero-bit watermarking technique
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
Efficient Monte Carlo simulation via the generalized splitting method
Statistics and Computing
Sequential Monte Carlo for rare event estimation
Statistics and Computing
Splitting for rare event simulation in biochemical systems
Proceedings of the 6th International ICST Conference on Simulation Tools and Techniques
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This article deals with estimations of probabilities of rare events using fast simulation based on the splitting method. In this technique, the sample paths are split into multiple copies at various stages in the simulation. Our aim is to optimize the algorithm and to obtain a precise confidence interval of the estimator using branching processes. The numerical results presented suggest that the method is reasonably efficient.