Efficient Handling of Probability Information for Decision Analysis under Risk
提出一种压缩概率分布的方法，在保留尽可能多分布信息的同时，比现有方法更高效，从而支持更贴近现实的风险决策建模。
Abstract An approach is presented for “condensing” probability distributions so that as much distributional information as possible is preserved. We demonstrate that our approach may be substantially more efficient than alternative methods and, as a result, may permit more realistic modeling of risky decisions.