Robust Mean Change-Point Detecting through Laplace Linear Regression Using EM Algorithm

歐筱華（1994）。Detecting Mean Changes in the Multivariate Normal Process Using Artificial Neural Network Approach〔碩士論文，元智大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0009-0112200611305677
Bellamine, I., Morita, H., & Ishii, H. (2004). An Estimation Method of the Parameters of a Linear Regression System Subject to Inefficiency. Asia Pacific Management Review, 9(4), 583-593. https://doi.org/10.6126/APMR.2004.9.4.01
Feng, Y., Zuo, G., & Liu, L. (2012). Least Absolute Deviation Estimate for Functional Coefficient Partially Linear Regression Models. Journal of Probability and Statistics, 2012(), 7-26. https://doi.org/10.1155/2012/131085
黃麗惠、黃文瀚（2004）。Efficiency in Estimating Linear Regression Parameters with Missing Covariates。智慧科技與應用統計學報，2(1)，71-89。https://doi.org/10.29807/JTITAS.200406.0005
Hsiao, K. C. (2005). ON ESTIMATING REGRESSION FUNCTION WITH CHANGE POINTS [master's thesis, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU.2005.00238