This is my trial lecture for the 28.01.2021 PhD disputation.
 Aminikhanghahi, Samaneh, and Diane J. Cook. "A survey of methods for time series change point detection." Knowledge and information systems 51.2 (2017): 339-367.
 PhD presentation https://youtu.be/9Ep6gBBlG8s
 Chen, Hao; Zhang, Nancy. Graph-based change-point detection. Ann. Statist. 43 (2015), no. 1, 139–176. doi:10.1214/14-AOS1269. https://projecteuclid.org/euclid.aos/…
 Chen, J. and Gupta, A.K. Parametric Statistical Change Point Analysis: With Applications to Genetics, Medicine, and Finance. Springer Science and Business Media. (2011).
 Worsley, K. J. “On the Likelihood Ratio Test for a Shift in Location of Normal Populations.” Journal of the American Statistical Association, vol. 74, no. 366, 1979, pp. 365–367. JSTOR, www.jstor.org/stable/2286336.
 Montgomery, D. C. (2012). Introduction to statistical quality control. John Wiley & Sons.
 Li, S., & Lund, R. (2012). Multiple Changepoint Detection via Genetic Algorithms, Journal of Climate, 25(2), 674-686.
 Lee, W. H., Ortiz, J., Ko, B. and LeeTime, R. (2018) Series Segmentation through Automatic Feature Learning. Preprint
 Song Liu, Makoto Yamada, Nigel Collier and Masashi Sugiyama. (2013)
Change-point detection in time-series data by relative density-ratio estimation, Neural Networks, Volume 43.
Github - https://github.com/rasmuserlemann/PhD_Thesis