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Items where Author is "Qiao, Xinghao"

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Number of items: 14.

Article

Chang, Jinyuan, Fang, Qin, Qiao, Xinghao ORCID: 0000-0002-6546-6595 and Yao, Qiwei ORCID: 0000-0003-2065-8486 (2024) On the modelling and prediction of high-dimensional functional time series. Journal of the American Statistical Association. ISSN 0162-1459

Fang, Qin, Guo, Shaojun and Qiao, Xinghao ORCID: 0000-0002-6546-6595 (2024) Adaptive functional thresholding for sparse covariance function estimation in high dimensions. Journal of the American Statistical Association, 119 (546). 1473 - 1485. ISSN 0162-1459

Liu, Yirui, Qiao, Xinghao ORCID: 0000-0002-6546-6595, Pei, Yulong and Wang, Liying (2024) Deep functional factor models: forecasting high-dimensional functional time series via Bayesian nonparametric factorization. Proceedings of Machine Learning Research, 235. pp. 31709-31727. ISSN 2640-3498

Liu, Yirui, Qiao, Xinghao ORCID: 0000-0002-6546-6595, Wang, Liying and Lam, Jessica (2023) EEGNN: edge enhanced graph neural network with a Bayesian nonparametric graph model. Proceedings of Machine Learning Research, 206. pp. 2132-2146. ISSN 1938-7228

Chang, Jinyuan, Chen, Cheng, Qiao, Xinghao ORCID: 0000-0002-6546-6595 and Yao, Qiwei ORCID: 0000-0003-2065-8486 (2023) An autocovariance-based learning framework for high-dimensional functional time series. Journal of Econometrics, 239 (2). ISSN 0304-4076

Guo, Shaojun and Qiao, Xinghao ORCID: 0000-0002-6546-6595 (2023) On consistency and sparsity for high-dimensional functional time series with application to autoregressions. Bernoulli, 29 (1). 451 - 472. ISSN 1350-7265

Qiao, Xinghao ORCID: 0000-0002-6546-6595, Liu, Yirui and Lam, Jessica (2022) CATVI: conditional and adaptively truncated variational inference for hierarchical Bayesian nonparametric models. Proceedings of Machine Learning Research, 151. ISSN 2640-3498

Fang, Qin, Guo, Shaojun and Qiao, Xinghao ORCID: 0000-0002-6546-6595 (2022) Finite sample theory for high-dimensional functional/scalar time series with applications. Electronic Journal of Statistics, 16 (1). 527 - 591. ISSN 1935-7524

Chen, Cheng, Guo, Shaojun and Qiao, Xinghao ORCID: 0000-0002-6546-6595 (2022) Functional linear regression: dependence and error contamination. Journal of Business and Economic Statistics, 40 (1). 444 - 457. ISSN 0735-0015

Qiao, Xinghao ORCID: 0000-0002-6546-6595, Qian, Cheng, James, Gareth M. and Guo, Shaojun (2020) Doubly functional graphical models in high dimensions. Biometrika, 107 (2). 415 - 431. ISSN 0006-3444

Lian, Heng, Qiao, Xinghao ORCID: 0000-0002-6546-6595 and Zhang, Wenyang (2019) Homogeneity pursuit in single index models based panel data analysis. Journal of Business and Economic Statistics. ISSN 0735-0015

Qiao, Xinghao ORCID: 0000-0002-6546-6595, Guo, Shaojun and James, Gareth M. (2019) Functional graphical models. Journal of the American Statistical Association, 114 (525). 211 - 222. ISSN 0162-1459

Radchenko, Peter, Qiao, Xinghao ORCID: 0000-0002-6546-6595 and James, Gareth M. (2015) Index models for sparsely sampled functional data. Journal of the American Statistical Association, 110 (510). 824 - 836. ISSN 0162-1459

Qiao, Xinghao ORCID: 0000-0002-6546-6595, James, Gareth M. and Sun, Wenguang (2012) Comment. Technometrics, 54 (2). pp. 123-126. ISSN 0040-1706

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