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Xinghao Qiao
Title
Cited by
Cited by
Year
Functional graphical models
X Qiao, S Guo, GM James
Journal of the American Statistical Association 114 (525), 211-222, 2019
1342019
Doubly functional graphical models in high dimensions
X Qiao, C Qian, GM James, S Guo
Biometrika 107 (2), 415-431, 2020
502020
Homogeneity pursuit in single index models based panel data analysis
H Lian, X Qiao, W Zhang
Journal of Business & Economic Statistics 39 (2), 386-401, 2021
302021
Functional linear regression: dependence and error contamination
C Chen, S Guo, X Qiao
Journal of Business & Economic Statistics 40 (1), 444-457, 2022
232022
An autocovariance-based learning framework for high-dimensional functional time series
J Chang, C Chen, X Qiao, Q Yao
Journal of Econometrics 239 (2), 105385, 2024
222024
Index models for sparsely sampled functional data
P Radchenko, X Qiao, GM James
Journal of the American Statistical Association 110 (510), 824-836, 2015
222015
On consistency and sparsity for high-dimensional functional time series with application to autoregressions
S Guo, X Qiao
Bernoulli 29 (1), 451-472, 2023
202023
Factor modelling for high-dimensional functional time series
S Guo, X Qiao, Q Wang, Z Wang
arXiv preprint arXiv:2112.13651, 2021
172021
Finite sample theory for high-dimensional functional/scalar time series with applications
Q Fang, S Guo, X Qiao
Electronic Journal of Statistics 16 (1), 527-591, 2022
152022
On the Modeling and Prediction of High-Dimensional Functional Time Series
J Chang, Q Fang, X Qiao, Q Yao
Journal of the American Statistical Association, 1-15, 2024
62024
Adaptive functional thresholding for sparse covariance function estimation in high dimensions
Q Fang, S Guo, X Qiao
Journal of the American Statistical Association 119 (546), 1473-1485, 2024
62024
From sparse to dense functional data in high dimensions: Revisiting phase transitions from a non-asymptotic perspective
S Guo, D Li, X Qiao, Y Wang
Journal of Machine Learning Research 26 (15), 1-40, 2025
42025
EEGNN: Edge enhanced graph neural network with a Bayesian nonparametric graph model
Y Liu, X Qiao, L Wang, J Lam
International Conference on Artificial Intelligence and Statistics, 2132-2146, 2023
42023
Factor-guided estimation of large covariance matrix function with conditional functional sparsity
D Li, X Qiao, Z Wang
arXiv preprint arXiv:2311.02450, 2023
32023
CATVI: Conditional and adaptively truncated variational inference for hierarchical bayesian nonparametric models
Y Liu, X Qiao, J Lam
International Conference on Artificial Intelligence and Statistics, 3647-3662, 2022
32022
Supplement to “On consistency and sparsity for high-dimensional functional time series with application to autoregressions.”
S Guo, X Qiao
12023
Conditional variational inference with adaptive truncation for Bayesian nonparametric models
JY Liu, X Qiao
arXiv preprint arXiv:2001.04508, 2020
12020
A General Theory for Large-Scale Curve Time Series via Functional Stability Measure
S Guo, X Qiao
arXiv preprint arXiv:1812.07619, 2018
12018
On a new robust method of inference for general time series models
Z Wang, X Qiao, D Li, H Tong
arXiv preprint arXiv:2503.08655, 2025
2025
Large covariance matrix estimation with factor-assisted variable clustering
D Li, X Qiao, C Yu
arXiv preprint arXiv:2501.10942, 2025
2025
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