Sequential change-point detection for time series enables us to sequentially check the hypothesisthat the model still holds as more and more data are observed. It’s widely used in data monitoring
in practice. In this work, we propose two models: Binomial AR(1) model and Generalized
Beta AR(p) model, for modeling binomial...