Parameter inference in small world network disease models with approximate Bayesian Computational methods

Physica A: Statistical Mechanics and its Applications

Volumn 389, Issue 3, 2010, Pages 540-548

  Walker, David M ^a   Allingham, David ^a   Lee, Heung Wing Joseph ^b   Small, Michael ^b  

^a UNIVERSITY OF NEWCASTLE   (Australia)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Approximate Bayesian Computation; Epidemiological models; Small world networks; Stochastic simulation inference

Indexed keywords

BAYESIAN NETWORKS; DISEASES; SMALL-WORLD NETWORKS; STOCHASTIC SYSTEMS;

APPROXIMATE BAYESIAN; EPIDEMIOLOGICAL MODELS; FITTING PARAMETERS; PARAMETER DISTRIBUTIONS; PARAMETER INFERENCE; SARS CORONAVIRUS; STOCHASTIC SIMULATIONS; SURROGATE ANALYSIS;

STOCHASTIC MODELS;

EID: 70350570538     PISSN: 03784371     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.physa.2009.09.053     Document Type: Article

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