New model diagnostics for spatio-temporal systems in epidemiology and ecology

Journal of the Royal Society Interface

Volumn 11, Issue 93, 2014, Pages

  Lau, Max S Y ^a,b   Marion, Glenn ^b   Streftaris, George ^a   Gibson, Gavin J ^a  

^a HERIOT WATT UNIVERSITY   (United Kingdom)

^b BIOMATHEMATICS AND STATISTICS SCOTLAND   (United Kingdom)

Author keywords

Bayesian inference; Latent residuals; Non centred parametrization; Spatio temporal model assessment

Indexed keywords

BAYESIAN NETWORKS; DIAGNOSIS; ECOLOGY; INFERENCE ENGINES; SPECIFICATIONS; STOCHASTIC MODELS; TOOLS;

BAYESIAN INFERENCE; DEVIANCE INFORMATION CRITERIONS (DIC); LATENT RESIDUALS; MARKOV CHAIN MONTE-CARLO; PARAMETRIZATIONS; POSTERIOR DISTRIBUTIONS; SPATIO-TEMPORAL MODELS; STANDARD ESTIMATION ALGORITHMS;

COMPUTER SIMULATION;

ALGORITHM; ARTICLE; BAYES THEOREM; CONTROL STRATEGY; ECOLOGY; EPIDEMIOLOGY; HERACLEUM; INFORMATION; KERNEL METHOD; METHODOLOGY; MONTE CARLO METHOD; PROBABILITY; SAMPLING; SPATIOTEMPORAL ANALYSIS; STOCHASTIC MODEL; TIME; UNITED KINGDOM; BAYESIAN INFERENCE; BIOLOGICAL MODEL; DIFFERENTIAL DIAGNOSIS; ECOSYSTEM; LATENT RESIDUALS; NON-CENTRED PARAMETRIZATION; SPATIO-TEMPORAL MODEL ASSESSMENT;

BAYESIAN INFERENCE; LATENT RESIDUALS; NON-CENTRED PARAMETRIZATION; SPATIO-TEMPORAL MODEL ASSESSMENT;

BAYES THEOREM; DIAGNOSIS, DIFFERENTIAL; ECOSYSTEM; EPIDEMIOLOGY; GREAT BRITAIN; HERACLEUM; MODELS, BIOLOGICAL;

EID: 84896914008     PISSN: 17425689     EISSN: 17425662     Source Type: Journal    
DOI: 10.1098/rsif.2013.1093     Document Type: Article

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