Acknowledgement
이 성과는 정부(과학기술정보통신부)의 재원으로 한국연구재단의 지원을 받아 수행된 연구임 (No. 2020R1F1A1A01051039).
References
- Antoch J and Huskova M (2001). Permutation tests in change point analysis, Statistics and Probability Letters, 53, 37-46. https://doi.org/10.1016/S0167-7152(01)00009-8
- Cho H (2016). Change-point detection in panel data via double cusum statistic, Electronic Journal of Statistics, 10, 2000-2038. https://doi.org/10.1214/16-EJS1155
- Friedman J, Hastie T, Hofling H, and Tibshirani R (2007). Pathwise coordinate optimization, The Annals of Applied Statistics, 1, 302-332. https://doi.org/10.1214/07-AOAS131
- Fryzlewicz P (2014). Wild binary segmentation for multiple change-point detection, The Annals of Statistics, 42, 2243-2281. https://doi.org/10.1214/14-AOS1245
- Hoefling H (2010). A path algorithm for the fused lasso signal approximator, Journal of Computational and Graphical Statistics, 19, 984-1006. https://doi.org/10.1198/jcgs.2010.09208
- Hyun S, G'Sell M, Tibshirani RJ (2018). Exact post-selection inference for the generalized lasso path, Electronic Journal of Statistics, 12, 1053-1097. https://doi.org/10.1214/17-EJS1363
- Lee JD, Sun DL, Sun Y, and Taylor JE (2016). Exact post-selection inference, with application to the lasso, Annals of Statistics, 44, 907-927.
- Leeb H and Potscher BM (2003). The finite-sample distribution of post-model-selection estimators and uniformversus nonuniform approximations, Econometric Theory, 19, 100-142. https://doi.org/10.1017/S0266466603191050
- Leeb H and Potscher BM (2006). Can one estimate the conditional distribution of post-model-selection estimators?, Annals of Mathematical Statistics, 34, 2554-2591.
- Niu YS, Hao N, and Zhang H (2016). Multiple change-point detection: A selective overview, Statistical Science, 31, 611-623.
- Olshen AB, Venkatraman E, Lucito R, and Wigler M (2004). Circular binary segmentation for the analysis of array-based dna copy number data, Biostatistics, 5, 557-572. https://doi.org/10.1093/biostatistics/kxh008
- Pettitt AN (1979). A non-parametric approach to the change-point problem, Journal of the Royal Statistical Society: Series C (Applied Statistics), 28, 126-135. https://doi.org/10.2307/2346729
- Rinaldo A (2014). Corrections to properties and refinements of the fused lasso, Retrieved December 8th from https://www.stat.cmu.edu/arinaldo/Fused_Correction.pdf
- Rojas CR and Wahlberg B (2014). On change point detection using the fused lasso method
- Sen A and Srivastava MS (1975). On tests for detecting change in mean, Annals of Statistics, 3, 98-108. https://doi.org/10.1214/aos/1176343001
- Son W and Lim J (2019). Modified path algorithm of fused lasso signal approximator for consistent recovery of change points, Jounal of Statistical Planning and Inference, 200, 223-238. https://doi.org/10.1016/j.jspi.2018.10.003
- Son W, Lim J, and Yu D (2021). Tuning parameter selection for the fused lasso signal approximator. Manuscript submitted for publication.
- Tibshirani R, Saunders M, Rosset S, Zhu J, and Knight K (2005). Sparsity and smoothness via the fused lasso, Journal of the Royal Statistical Society: Series B, 67, 91-108. https://doi.org/10.1111/j.1467-9868.2005.00490.x