Unsupervised Self-Normalized Change-Point Testing for Time Series
Unsupervised Self-Normalized Change-Point Testing for Time Series
We propose a new self-normalized method for testing change points in the time series setting. Self-normalization has been celebrated for its ability to avoid direct estimation of the nuisance asymptotic variance and its flexibility of being generalized to handle quantities other than the mean. However, it was developed and mainly …