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	Grouped Spherical Data Modeling Through Hierarchical Nonparametric Bayesian Models and Its Application to fMRI Data Analysis Journal article IEEE Transactions on Neural Networks and Learning Systems,2024, volume: 35, issue: 4, pages: 5566-5576 Authors: Fan, Wentao; Yang, Lin; Bouguila, Nizar Favorite \| View/Download：6/0 \| Submit date：2024/05/07 Functional magnetic resonance imaging (fMRI) data analysis hierarchical nonparametric Bayesian model hierarchical Pitman-Yor (HPY) process spherical data variational Bayes (VB) von Mises-Fisher (VMF)
	Unsupervised modeling and feature selection of sequential spherical data through nonparametric hidden Markov models Journal article International Journal of Machine Learning and Cybernetics,2022, volume: 13, issue: 10, pages: 3019-3029 Authors: Fan, Wentao; Hou, Wenjuan Favorite \| View/Download：4/0 \| Submit date：2022/11/14 Dirichlet process Feature selection Hidden Markov model Spherical data Variational Bayes Von Mises mixture
	Generalized T 3-plot for testing high-dimensional normality Journal article Frontiers of Mathematics in China,2016, volume: 11, issue: 6, pages: 1363-1378 Authors: Ai, Mingyao; Liang, Jiajuan; Tang, Man Lai Favorite \| View/Download：5/0 \| Submit date：2021/06/04 Dimension reduction graphical method high-dimensional data multivariate normality spherical distribution
	A multivariate normal plot to detect nonnormality Journal article Journal of Computational and Graphical Statistics,2009, volume: 18, issue: 1, pages: 52-72 Authors: Liang, Jiajuan; Ng, Kaiwang Favorite \| View/Download：4/0 \| Submit date：2021/06/04 High-dimensional data Multivariate normality Principal component Spherical distribution