Items where Author is "Qiao, Xinghao"
Number of items: 14.
Functional linear regression:dependence and error contamination. (2022)
Chen, Cheng and Guo, Shaojun and Qiao, Xinghao
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Functional graphical models. (2019)
Qiao, Xinghao and Guo, Shaojun and James, Gareth M.
Adaptive functional thresholding for sparse covariance function estimation in high dimensions.
Fang, Qin and Guo, Shaojun and Qiao, Xinghao
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CATVI:conditional and adaptively truncated variational inference for hierarchical Bayesian nonparametric models.
Qiao, Xinghao and Liu, Yirui and Lam, Jessica
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Comment.
Qiao, Xinghao and James, Gareth M. and Sun, Wenguang
Deep functional factor models:forecasting high-dimensional functional time series via Bayesian nonparametric factorization.
Liu, Yirui and Qiao, Xinghao and Pei, Yulong and Wang, Liying
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Doubly functional graphical models in high dimensions.
Qiao, Xinghao and Qian, Cheng and James, Gareth M. and Guo, Shaojun
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EEGNN:edge enhanced graph neural network with a Bayesian nonparametric graph model.
Liu, Yirui and Qiao, Xinghao and Wang, Liying and Lam, Jessica
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Finite sample theory for high-dimensional functional/scalar time series with applications.
Fang, Qin and Guo, Shaojun and Qiao, Xinghao
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Homogeneity pursuit in single index models based panel data analysis.
Lian, Heng and Qiao, Xinghao and Zhang, Wenyang
Index models for sparsely sampled functional data.
Radchenko, Peter and Qiao, Xinghao and James, Gareth M.
On consistency and sparsity for high-dimensional functional time series with application to autoregressions.
Guo, Shaojun and Qiao, Xinghao
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On the Modeling and Prediction of High-Dimensional Functional Time Series.
Chang, Jinyuan and Fang, Qin and Qiao, Xinghao and Yao, Qiwei
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An autocovariance-based learning framework for high-dimensional functional time series.
Chang, Jinyuan and Chen, Cheng and Qiao, Xinghao and Yao, Qiwei
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