Bayesian forecasting of grape moth emergence

Ecological Modelling

Volumn 197, Issue 3-4, 2006, Pages 478-489

  Moravie, M A ^a   Davison, A C ^a   Pasquier, D ^b   Charmillot, P J ^b  

^a EPFL   (Switzerland)

^b AGROSCOPE   (Switzerland)

Author keywords

Bayesian hierarchical model; Gibbs sampler; Markov chain Monte Carlo; Metropolis Hastings algorithm; Pest management; Poisson process

Indexed keywords

MATHEMATICAL MODELS; MONTE CARLO METHODS; PEST CONTROL; POISSON DISTRIBUTION; PROBABILITY;

BAYESIAN HIERARCHICAL MODEL; GIBBS SAMPLER; MARKOV CHAIN MONTE CARLO; METROPOLIS HASTINGS ALGORITHM; PEST MANAGEMENT; POISSON PROCESS;

FRUITS;

BAYESIAN ANALYSIS; FORECASTING METHOD; INDUSTRIAL PRODUCTION; MONTE CARLO ANALYSIS; MOTH; NUMERICAL MODEL; POISSON RATIO; SIMULATION; STOCHASTICITY; VINEYARD;

FRUITS; MATHEMATICAL MODELS; PEST CONTROL; PROBABILITY; SIMULATION;

CENTRAL EUROPE; EURASIA; EUROPE; SWITZERLAND;

LEPIDOPTERA; VITIS SP.;

EID: 33746543830     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2006.03.030     Document Type: Article

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