Bayesian inference for stochastic kinetic models using a diffusion approximation

Biometrics

Volumn 61, Issue 3, 2005, Pages 781-788

  Golightly, A ^a   Wilkinson, D J ^a  

^a NEWCASTLE UNIVERSITY   (United Kingdom)

Author keywords

Bayesian inference; Markov chain Monte Carlo; Missing data; Nonlinear diffusion; Stochastic differential equation

Indexed keywords

BAYESIAN NETWORKS; DIFFERENTIAL EQUATIONS; DIFFUSION; INFERENCE ENGINES; KINETIC PARAMETERS; KINETIC THEORY; MARKOV PROCESSES; NONLINEAR EQUATIONS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; WHITE NOISE;

BAYESIAN ESTIMATIONS; BAYESIAN INFERENCE; DIFFUSION APPROXIMATIONS; KINETIC MODELS; MARKOV CHAIN MONTE CARLO; MARKOV CHAIN MONTE-CARLO; MISSING DATA; NONLINEAR DIFFUSION; STOCHASTIC DIFFERENTIAL EQUATIONS; STOCHASTIC KINETICS;

RATE CONSTANTS;

BAYESIAN ANALYSIS; STOCHASTICITY;

ARTICLE; AUTOREGULATION; BAYES THEOREM; DIFFUSION; KINETICS; MONTE CARLO METHOD; NONLINEAR SYSTEM; PROBABILITY; PROKARYOTE; STOCHASTIC MODEL; BIOLOGICAL MODEL; COMPUTER SIMULATION; STATISTICAL MODEL; STATISTICS;

PROKARYOTA;

BAYES THEOREM; COMPUTER SIMULATION; DIFFUSION; KINETICS; MARKOV CHAINS; MODELS, BIOLOGICAL; MODELS, STATISTICAL; MONTE CARLO METHOD; STOCHASTIC PROCESSES;

EID: 27744503232     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2005.00345.x     Document Type: Article

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