Statistical Modeling in Oceanography

该项目开发了新的统计方法，用于分析海洋环流数据和预测海洋对天气的影响。在该项目的第一部分，设计了用于将水文数据同化到海洋环流模型中的贝叶斯分层方法。在项目的第二部分，使用贝叶斯半参数回归模型来产生对采暖度日概率密度函数的改进预测。

This project develops new statistical approaches for the analysis of ocean circulation data and prediction of the ocean's influence on weather. In the first part of the project, Bayesian hierarchical methods are devised for assimilating hydrographic data into ocean circulation models. In the second part of the project, Bayesian semiparametric regression models are used to produce improved forecasts of heating-degree day probability density functions.