Shen, Jeremy JZhang, Nancy R2023-05-232023-05-232012-01-012016-08-01https://repository.upenn.edu/handle/20.500.14332/47738We propose a flexible change-point model for inhomogeneous Poisson Processes, which arise naturally from next-generation DNA sequencing, and derive score and generalized likelihood statistics for shifts in intensity functions. We construct a modified Bayesian information criterion (mBIC) to guide model selection, and point-wise approximate Bayesian confidence intervals for assessing the confidence in the segmentation. The model is applied to DNA Copy Number profiling with sequencing data and evaluated on simulated spike-in and real data sets.copy numberCNVchange pointinhomogeneous Poisson processpoint-wise confidence intervalApplied StatisticsArticle