Bayesian parameter inference for stochastic biochemical network models using particle Markov chain Monte Carlo
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Mechanistic hierarchical Gaussian processesRobustness analysis of stochastic biochemical systemsComparison of Parameter Estimation Methods in Stochastic Chemical Kinetic Models: Examples in Systems BiologyReduction of dynamical biochemical reactions networks in computational biologyA framework for parameter estimation and model selection from experimental data in systems biology using approximate Bayesian computation.A stochastic transcriptional switch model for single cell imaging data.Bayesian Analysis of Ambulatory Blood Pressure Dynamics with Application to Irregularly Spaced Sparse DataBayesian Computation Methods for Inferring Regulatory Network Models Using Biomedical Data.Inferring the Forces Controlling Metaphase Kinetochore Oscillations by Reverse Engineering System Dynamics.Where next for the reproducibility agenda in computational biology?Generalized method of moments for estimating parameters of stochastic reaction networks.Parameter inference for stochastic single-cell dynamics from lineage tree data.Inverse Gillespie for inferring stochastic reaction mechanisms from intermittent samplesQuantitative computational models of molecular self-assembly in systems biology.Bootstrapping least-squares estimates in biochemical reaction networks.A temporal switch model for estimating transcriptional activity in gene expression.Piecewise Approximate Bayesian Computation: fast inference for discretely observed Markov models using a factorised posterior distribution.Tensor methods for parameter estimation and bifurcation analysis of stochastic reaction networks.Using model-based proposals for fast parameter inference on discrete state space, continuous-time Markov processesUsing constraints and their value for optimization of large ODE systems.Approximate Bayesian computation schemes for parameter inference of discrete stochastic models using simulated likelihood density.Inference in complex systems.Multivariate moment closure techniques for stochastic kinetic models.Scalable inference of heterogeneous reaction kinetics from pooled single-cell recordings.Markov chain Monte Carlo inference for Markov jump processes via the linear noise approximation.Ensemble methods for stochastic networks with special reference to the biological clock of Neurospora crassa.Parameter uncertainty quantification using surrogate models applied to a spatial model of yeast mating polarization.
P2860
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P2860
Bayesian parameter inference for stochastic biochemical network models using particle Markov chain Monte Carlo
description
2011 nî lūn-bûn
@nan
2011 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Bayesian parameter inference f ...... ticle Markov chain Monte Carlo
@ast
Bayesian parameter inference f ...... ticle Markov chain Monte Carlo
@en
Bayesian parameter inference f ...... ticle Markov chain Monte Carlo
@nl
type
label
Bayesian parameter inference f ...... ticle Markov chain Monte Carlo
@ast
Bayesian parameter inference f ...... ticle Markov chain Monte Carlo
@en
Bayesian parameter inference f ...... ticle Markov chain Monte Carlo
@nl
prefLabel
Bayesian parameter inference f ...... ticle Markov chain Monte Carlo
@ast
Bayesian parameter inference f ...... ticle Markov chain Monte Carlo
@en
Bayesian parameter inference f ...... ticle Markov chain Monte Carlo
@nl
P2860
P3181
P356
P1433
P1476
Bayesian parameter inference f ...... ticle Markov chain Monte Carlo
@en
P2093
Darren J Wilkinson
P2860
P304
P3181
P356
10.1098/RSFS.2011.0047
P407
P577
2011-12-06T00:00:00Z