首页>
外国专利>
Method for constructing segmentation-based predictive models from data that is particularly well-suited for insurance risk or profitability modeling purposes
Method for constructing segmentation-based predictive models from data that is particularly well-suited for insurance risk or profitability modeling purposes
展开▼
机译：从特别适合于保险风险或盈利能力建模目的的数据构造基于细分的预测模型的方法
展开▼
页面导航
摘要
著录项
相似文献
摘要
The invention considers a widely applicable method of constructing segmentation-based predictive models from data that permits constraints to be placed on the statistical estimation errors that can be tolerated with respect to various aspects of the models that are constructed. The present invention uses these statistical constraints in a closed-loop fashion to guide the construction of potential segments so as to produce segments that satisfy the statistical constraints whenever it is feasible to do so. The method is closed-loop in a sense that the statistical constraints are used in a manner that is analogous to an error signal in a feed-back control system, wherein the error signal is used to regulate the inputs to the process that is being controlled.
展开▼
