Markov chain monte carlo inference for markov jump processes via the linear noise approximation

Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

Volumn 371, Issue 1984, 2013, Pages

  Stathopoulos, Vassilios ^a   Girolami, Mark A ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Linear noise approximation; Markov chain Monte Carlo; Markov jump processes; Riemann manifold

Indexed keywords

ENGINEERING; INDUSTRIAL ENGINEERING; PHILOSOPHICAL ASPECTS;

BAYESIAN ANALYSIS; COMPUTATIONALLY EFFICIENT; CONVERGENCE RATES; EXACT INFERENCE; LINEAR NOISE APPROXIMATION; MARKOV CHAIN MONTE CARLO METHOD; MARKOV CHAIN MONTE-CARLO; MARKOV JUMP PROCESS; NON-TRIVIAL; RIEMANN MANIFOLD; SYSTEMS BIOLOGY; THERMODYNAMIC LIMITS;

MARKOV PROCESSES;

ALGORITHM; ARTICLE; BAYES THEOREM; BIOLOGICAL MODEL; CHEMICAL MODEL; COMPUTER SIMULATION; MONTE CARLO METHOD; PROBABILITY; STATISTICAL MODEL;

ALGORITHMS; BAYES THEOREM; COMPUTER SIMULATION; LINEAR MODELS; MARKOV CHAINS; MODELS, BIOLOGICAL; MODELS, CHEMICAL; MONTE CARLO METHOD;

MLCS; MLOWN;

EID: 84874160187     PISSN: 1364503X     EISSN: None     Source Type: Journal    
DOI: 10.1098/rsta.2011.0541     Document Type: Article

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