A Bayesian Processor of Uncertainty for Precipitation Forecasting Using Multiple Predictors and Censoring
作者： Paolo Reggiani , Oleksiy Boyko
关键词: Statistics 、 Bayesian probability 、 Mathematics 、 Censoring (statistics)
摘要: AbstractA Bayesian processor of uncertainty for numerical precipitation forecasts is presented. The predictive density estimated on the basis normalized variates, use censored distribu...
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