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Variance Reduction with Array-RQMC for Tau-Leaping Simulation of
  Stochastic Biological and Chemical Reaction Networks
v1v2v3 (latest)

Variance Reduction with Array-RQMC for Tau-Leaping Simulation of Stochastic Biological and Chemical Reaction Networks

Bulletin of Mathematical Biology (Bull. Math. Biol.), 2020
1 September 2020
F. Puchhammer
Amal Ben Abdellah
P. LÉcuyer
ArXiv (abs)PDFHTML

Papers citing "Variance Reduction with Array-RQMC for Tau-Leaping Simulation of Stochastic Biological and Chemical Reaction Networks"

4 / 4 papers shown
Challenges in Developing Great Quasi-Monte Carlo Software
Challenges in Developing Great Quasi-Monte Carlo Software
Sou-Cheng T. Choi
Yuhan Ding
F. J. Hickernell
Rathinavel Jagadeeswaran
Aleksei G. Sorokin
149
4
0
10 Nov 2023
Conditional Quasi-Monte Carlo with Constrained Active Subspaces
Conditional Quasi-Monte Carlo with Constrained Active SubspacesSIAM Journal on Scientific Computing (SISC), 2022
Sifan Liu
231
2
0
26 Dec 2022
Policy Learning and Evaluation with Randomized Quasi-Monte Carlo
Policy Learning and Evaluation with Randomized Quasi-Monte CarloInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Sébastien M. R. Arnold
P. LÉcuyer
Liyu Chen
Yi-fan Chen
Fei Sha
OffRL
229
4
0
16 Feb 2022
Multifidelity multilevel Monte Carlo to accelerate approximate Bayesian
  parameter inference for partially observed stochastic processes
Multifidelity multilevel Monte Carlo to accelerate approximate Bayesian parameter inference for partially observed stochastic processes
D. Warne
Thomas P. Prescott
Ruth Baker
Matthew J. Simpson
285
21
0
26 Oct 2021
1
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