A Nonparametric Estimator for Pairwise-Interaction Point Processes
本文基于Percus-Yevick近似，通过积分方程将成对交互点过程的交互函数与其二阶统计量联系起来，开发了一种非参数估计量，并进行了模拟研究。
The paper develops a nonparametric estimator for the class of pairwise-interaction point processes. The estimator is based on an approximation in statistical physics due to Percus and Yevick, which relates the interaction function of a pairwise-interaction point process to its second-order statistics via an integral equation. The results of a simulation study are presented.