Guo, Shaojun

Number of items: 7.
Mathematics
  • Qiao, Xinghao, Qian, Cheng, James, Gareth M., Guo, Shaojun (2020). Doubly functional graphical models in high dimensions. Biometrika, 107(2), 415 - 431. https://doi.org/10.1093/biomet/asz072 picture_as_pdf
    • Statistics
  • Fang, Qin, Guo, Shaojun, Qiao, Xinghao (2024). Adaptive functional thresholding for sparse covariance function estimation in high dimensions. Journal of the American Statistical Association, 119(546), 1473 - 1485. https://doi.org/10.1080/01621459.2023.2200522 picture_as_pdf
  • Guo, Shaojun, Qiao, Xinghao (2023). On consistency and sparsity for high-dimensional functional time series with application to autoregressions. Bernoulli, 29(1), 451 - 472. https://doi.org/10.3150/22-BEJ1464 picture_as_pdf
  • Fang, Qin, Guo, Shaojun, Qiao, Xinghao (2022). Finite sample theory for high-dimensional functional/scalar time series with applications. Electronic Journal of Statistics, 16(1), 527 - 591. https://doi.org/10.1214/21-EJS1960 picture_as_pdf
  • Chen, Cheng, Guo, Shaojun, Qiao, Xinghao (2022). Functional linear regression: dependence and error contamination. Journal of Business and Economic Statistics, 40(1), 444 - 457. https://doi.org/10.1080/07350015.2020.1832503 picture_as_pdf
  • Qiao, Xinghao, Qian, Cheng, James, Gareth M., Guo, Shaojun (2020). Doubly functional graphical models in high dimensions. Biometrika, 107(2), 415 - 431. https://doi.org/10.1093/biomet/asz072 picture_as_pdf
  • Qiao, Xinghao, Guo, Shaojun, James, Gareth M. (2019). Functional graphical models. Journal of the American Statistical Association, 114(525), 211 - 222. https://doi.org/10.1080/01621459.2017.1390466
  • Guo, Shaojun, Wang, Yazhen, Yao, Qiwei (2016). High-dimensional and banded vector autoregressions. Biometrika, 103(4), 889-903. https://doi.org/10.1093/biomet/asw046