Statistical outcomes of the Hawkes process applied to data from India.

The Hawkes process outperforms the baseline Poisson process both nationwide and in each cluster, since the Hawkes AIC is always less than the Poisson AIC. The Hawkes process passes the KS test at the 95% significance level in all cases, with .霍克斯过程（Hawkes process）在全国范围及各聚类簇中均优于基线泊松过程（Poisson process），因其赤池信息准则（Akaike Information Criterion，AIC）始终低于泊松过程的AIC。该过程在所有场景下均通过了95%显著性水平下的柯尔莫哥洛夫-斯米尔诺夫检验（Kolmogorov-Smirnov test，简称KS检验），原文此处存在内容遗漏。