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Steady-state parameter sensitivity in stochastic modeling via trajectory reweighting
Steady-state parameter sensitivity stochastic modeling trajectory reweighting
2012/2/28
Parameter sensitivity analysis is a powerful tool in the building and analysis of biochemical network models. For stochastic simulations, parameter sensitivity analysis can be computationally expensiv...
Stochastic modeling of gene activation and application to cell regulation
Stochastic modeling gene activation application regulation
2010/11/15
Transcription factors (TFs) are key regulators of gene expression. Based on the classical scenario in which the TF search process switches between one-dimensional motion along the DNA molecule and fre...
We analyze the dynamics of growth of the number of congressmen supporting the resolution HR1207 to audit the Federal Reserve. The plot of the total number of co-sponsors as a function of time is of "D...
Bayesian stochastic modeling of a spherical rock bouncing on a coarse soil
Bayesian stochastic modeling spherical rock coarse soil
2009/12/8
Trajectory analysis models are increasingly used for rockfall hazard mapping. However, classical approaches only partially account for the variability of the trajectories. In this paper, a general for...
Bayesian stochastic modeling of a spherical rock bouncing on a coarse soil
Bayesian stochastic modeling spherical rock bouncing coarse soil
2009/12/16
Trajectory analysis models are increasingly used for rockfall hazard mapping. However, classical approaches only partially account for the variability of the trajectories. In this paper, a general for...
A stochastic model for daily precipitation simulation in China was developed based on the framework of a ´Richardson-type´ weather generator that is an important tool in studying...