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	EFFICIENT AND EFFECTIVE CALIBRATION OF NUMERICAL MODEL OUTPUTS USING HIERARCHICAL DYNAMIC MODELS Journal article Annals of Applied Statistics,2024, volume: 18, issue: 2, pages: 1064-1089 Authors: Chen, Yewen; Chang, Xiaohui; Zhang, Bohai; Huang, Hui Favorite \| View/Download：9/0 \| Submit date：2024/09/04 Calibration hierarchical dynamic models numerical model outputs space-partitioning-based ensemble Kalman smoother stochastic integro-differential equations variational Bayes
	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