A new nonparametric approach, based on a decision tree algorithm, is proposed to calculate the overlap between two probability distributions. The devised framework is described analytically and numerically. The convergence of the estimated overlap to the true value is proved along with some experimental results.

翻译：提议采用一种基于决策树算法的新的非参数方法,以计算两种概率分布之间的重叠。设计的框架用分析和数字来描述。估计重叠与真实价值的趋同与一些实验结果一起证明。