分段齐次Poisson过程的贝叶斯回归
Bayesian regression of piecewise homogeneous Poisson processes
摘要：
本文将分段回归的贝叶斯方法应用于处理泊松分布的计数过程数据。在Mathematica的数值代码的开发和测试分析模拟数据。该方法对于检测泊松过程时间序列计数率中的断点是有价值的。
英文摘要：
In this paper, a Bayesian method for piecewise regression is adapted to handle counting processes data distributed as Poisson. A numerical code in Mathematica is developed and tested analyzing simulated data. The resulting method is valuable for detecting breaking points in the count rate of time series for Poisson processes.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
