Aerosol model selection and uncertainty modelling by adaptive MCMC technique
نویسندگان
چکیده
منابع مشابه
Aerosol model selection and uncertainty modelling by adaptive MCMC technique
We present a new technique for model selection problem in atmospheric remote sensing. The technique is based on Monte Carlo sampling and it allows model selection, calculation of model posterior probabilities and model averaging in Bayesian way. The algorithm developed here is called Adaptive Automatic Reversible Jump Markov chain Monte Carlo method (AARJ). It uses Markov chain Monte Carlo (MCM...
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ژورنال
عنوان ژورنال: Atmospheric Chemistry and Physics
سال: 2008
ISSN: 1680-7324
DOI: 10.5194/acp-8-7697-2008