Mathematical Sciences Computing Research Environments

耶鲁大学统计系将购买 工作站和外围设备，将专门用于支持 数学科学的研究。 这项研究将 支持在于： 1.产品评价与选择的划分模型 分类; 2.经验过程理论及其应用 计量经济学和半参数模型 3.混合模型，图形诊断的发展， 用于识别混合物存在的正式测试 广义线性模型，并确定数量的 有限混合物的组分; 4.分子进化的概率模型，包括 替代传统的分支树。

The Department of Statistics at Yale University will purchase workstations and peripherals that will be dedicated to support research in the mathematical sciences. The research to be supported lies in: 1. Product partition models for evaluating and selecting classifications; 2. Theory of empirical processes, with applications to econometrics and semiparametric models 3. Mixture models, the development of graphical diagnostics and formal tests for identifying the presence of mixing in generalized linear models, and for determining the numbers of components of finite mixtures; 4. Probabilistic models for molecular evolution, including alternatives to the traditional branching tree.