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Approximation and inference methods for stochastic biochemical kinetics
  - a tutorial review

Approximation and inference methods for stochastic biochemical kinetics - a tutorial review

23 August 2016
David Schnoerr
G. Sanguinetti
R. Grima
ArXivPDFHTML

Papers citing "Approximation and inference methods for stochastic biochemical kinetics - a tutorial review"

3 / 3 papers shown
Title
Bayesian inference for stochastic oscillatory systems using the
  phase-corrected Linear Noise Approximation
Bayesian inference for stochastic oscillatory systems using the phase-corrected Linear Noise Approximation
B. Swallow
D. Rand
G. Minas
18
2
0
12 May 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
22
15
0
26 Oct 2021
Multifidelity Approximate Bayesian Computation with Sequential Monte
  Carlo Parameter Sampling
Multifidelity Approximate Bayesian Computation with Sequential Monte Carlo Parameter Sampling
Thomas P. Prescott
R. Baker
11
12
0
17 Jan 2020
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