Efficient importance sampling for large sums of independent and identically distributed random variables
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Publication:2058910
DOI10.1007/s11222-021-10055-1zbMath1475.62018arXiv2101.09514OpenAlexW3207464738MaRDI QIDQ2058910
Gerardo Rubino, Raúl Tempone, Abdul-Lateef Haji-Ali, Nadhir Ben Rached
Publication date: 10 December 2021
Published in: Statistics and Computing (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2101.09514
Computational methods for problems pertaining to statistics (62-08) Applications of statistics in engineering and industry; control charts (62P30) Monte Carlo methods (65C05)
Related Items (2)
State-dependent importance sampling for estimating expectations of functionals of sums of independent random variables ⋮ Learning-based importance sampling via stochastic optimal control for stochastic reaction networks
Cites Work
- Unnamed Item
- Multilevel sequential Monte Carlo samplers
- On the efficient simulation of the left-tail of the sum of correlated log-normal variates
- On the generalization of the hazard rate twisting-based simulation approach
- Unbiased estimation of the gradient of the log-likelihood in inverse problems
- Fast and accurate computation of the distribution of sums of dependent log-normals
- Stochastic simulation: Algorithms and analysis
- Exponential Family Techniques for the Lognormal Left Tail
- Handbook of Monte Carlo Methods
- Rare Event Simulation using Monte Carlo Methods
- Simulating heavy tailed processes using delayed hazard rate twisting
- Tail behavior of sums and differences of log-normal random variables
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