Bayesian inference of spectral expansions for predictability assessment in stochastic reaction networks

Journal of Computational and Theoretical Nanoscience

Volumn 6, Issue 10, 2009, Pages 2283-2297

  Sargsyan, Khachik ^a   Debusschere, Bert ^a   Najm, Habib ^a   Marzouk, Youssef ^a,b  

^a SANDIA NATIONAL LABORATORIES   (United States)

^b Massachusetts Institute of Technology Cambridge   (United States)

Author keywords

Bayesian inference; Domain decomposition; Polynomial chaos; Predictability; Stochastic reaction networks; Uncertainty quantification

Indexed keywords

BAYESIAN INFERENCE; DOMAIN DECOMPOSITIONS; POLYNOMIAL CHAOS; REACTION NETWORK; UNCERTAINTY QUANTIFICATIONS;

CHAOTIC SYSTEMS; CHEMICAL REACTIONS; DOMAIN DECOMPOSITION METHODS; INFERENCE ENGINES; MARKOV PROCESSES; POLYNOMIALS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; UNCERTAINTY ANALYSIS;

BAYESIAN NETWORKS;

EID: 72749126926     PISSN: 15461955     EISSN: None     Source Type: Journal    
DOI: 10.1166/jctn.2009.1285     Document Type: Article

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