Bayesian statistical data assimilation for ecosystem models using Markov Chain Monte Carlo

Journal of Marine Systems

Volumn 68, Issue 3-4, 2007, Pages 439-456

  Dowd, Michael ^a  

^a DALHOUSIE UNIVERSITY   (Canada)

Author keywords

Data assimilation; Differential equations; Ecological statistics; Ensemble Kalman filter; Marine ecosystem models; MCMC; Monte Carlo; Non Gaussian; Particle filters; Prediction; Sequential importance resampling; State space models; Stochastic models

Indexed keywords

BAYESIAN NETWORKS; DIFFERENTIAL EQUATIONS; ECOSYSTEMS; KALMAN FILTERS; MARKOV PROCESSES; MONTE CARLO METHODS; NONLINEAR EQUATIONS; STATISTICS; STOCHASTIC MODELS;

BAYESIAN STATISTICAL DATA ASSIMILATION; ECOLOGICAL STATISTICS; MARINE ECOSYSTEM MODELS; NONLINEAR DIFFERENTIAL EQUATIONS; PARTICLE FILTERS; SEQUENTIAL IMPORTANCE RESAMPLING; STATE SPACE MODELS; STATISTICAL FRAMEWORKS;

DATA ACQUISITION;

BAYESIAN ANALYSIS; DATA ASSIMILATION; ECOSYSTEM MODELING; FORECASTING METHOD; GAUSSIAN METHOD; KALMAN FILTER; MARINE ECOSYSTEM; MARKOV CHAIN; MONTE CARLO ANALYSIS; NOWCASTING; PLANKTON; PREDICTION; STOCHASTICITY;

EID: 36048972344     PISSN: 09247963     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jmarsys.2007.01.007     Document Type: Article

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