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ERROR ANALYSIS OF COARSE-GRAINED KINETIC MONTE CARLO METHOD
Coarse grain kinetic monte carlo simulation grid the stochastic dynamics structural model
2014/12/25
In this paper we investigate the approximation properties of the coarse-graining procedure applied to kinetic Monte Carlo simulations of lattice stochastic dynamics. We provide both analytical and num...
Hierarchically-coupled hidden Markov models for learning kinetic rates from single-molecule data
Hierarchically-coupled hidden Markov models learning kinetic rates single-molecule data
2013/6/14
We address the problem of analyzing sets of noisy time-varying signals that all report on the same process but confound straightforward analyses due to complex inter-signal heterogeneities and measure...
A population Monte Carlo scheme with transformed weights and its application to stochastic kinetic models
Population Monte Carlo importance sampling degeneracy of importance weights stochastic kinetic models
2012/9/18
This paper addresses the problem of Monte Carlo approximation of posterior probability distributions. In particular, we have considered a recently proposed technique known as population Monte Carlo (P...
Bayesian inference for the MAPK/ERK pathway by considering the dependency of the kinetic parameters
MCMC MAPK/ERKpathway diusion approximation data augmentation dependency in diusion matrix
2009/9/22
The MAPK/ERK pathway is one of the major signal transduction systems which regulates the cellular growth control of all eukaryotes like the cell proliferation and the apoptosis. Because of its importa...
Using decomposed household food acquisitions as inputs of a Kinetic Dietary Exposure Model
household surveys individualization linear mixed model risk assessment spline-estimation
2010/4/27
Foods naturally contain a number of contaminants that may have different and long term
toxic effects. This paper introduces a novel approach for the assessment of such chronic food
risk that integra...