Moment Deviation Subspaces of Dimension Reduction for High-Dimensional Data With Change Structure

Xuehu Zhu, Luoyao Yu, Jiaqi Huang, Jun‐Min Liu, Lixing Zhu

Type: Article

Publication Date: 2023-06-27

Citations: 0

DOI: https://doi.org/10.5705/ss.202022.0384

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Statistica Sinica - View

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+	Homogeneity and change-point detection tests for multivariate data using rank statistics	2011	Alexandre Lung-Yut-Fong Céline Lévy‐Leduc Olivier Cappé
+	Uniform change point tests in high dimension	2015	Moritz Jirak
+	Consistent selection of the number of clusters via crossvalidation	2010	Junhui Wang
+	Sufficient dimension reduction through discretization-expectation estimation	2010	Lixing Zhu Tao Wang Lixing Zhu L. Ferré
+ PDF Chat	A Nonparametric Approach for Multiple Change Point Analysis of Multivariate Data	2013	David S. Matteson Nicholas A. James
+	A Kernel Multiple Change-point Algorithm via Model Selection	2012	Sylvain Arlot Alain Célisse Zaïd Harchaoui
+	Change-point detection in panel data via double CUSUM statistic	2016	Haeran Cho
+	Estimating a sparse reduction for general regression in high dimensions	2016	Tao Wang Mengjie Chen Hongyu Zhao Lixing Zhu
+	Sparse Sliced Inverse Regression via Lasso	2018	Qian Lin Zhigen Zhao Jun S. Liu
+ PDF Chat	Sparse Minimum Discrepancy Approach to Sufficient Dimension Reduction with Simultaneous Variable Selection in Ultrahigh Dimension	2018	Wei Qian Shanshan Ding R. Dennis Cook