Wang, Tengyao

Number of items: 16.
Statistics
  • Gao, Fengnan, Wang, Tengyao (2026). Detecting sparse change in regression coefficients in the presence of dense nuisance parameters. Information and Inference: A Journal of the IMA, [In Press] picture_as_pdf
  • Li, Mengchu, Chen, Yudong, Wang, Tengyao, Yi, Yu (2026). Robust mean change point testing in high-dimensional data with heavy tails. IEEE Transactions on Information Theory, 72(1), 571 - 609. https://doi.org/10.1109/TIT.2025.3634207 picture_as_pdf
  • Wang, Tengyao (2026). Proposer of the vote of thanks to Whiteley et al. and contribution to the Discussion of ‘Statistical exploration of the Manifold Hypothesis’. Journal of the Royal Statistical Society. Series B: Statistical Methodology, https://doi.org/10.1093/jrsssb/qkag002 [In Press] picture_as_pdf
  • Wen, Kaiyue, Wang, Tengyao, Wang, Yuhao (2025). Residual permutation test for regression coefficient testing. Annals of Statistics, 53(2), 724 - 748. https://doi.org/10.1214/24-aos2479 picture_as_pdf
  • Chen, Yudong, Wang, Tengyao, Samworth, Richard J. (2024). Inference in high-dimensional online changepoint detection. Journal of the American Statistical Association, 119(546), 1461 - 1472. https://doi.org/10.1080/01621459.2023.2199962 picture_as_pdf
  • Yang, Xuzhi, Wang, Tengyao (2024). Multiple-output composite quantile regression through an optimal transport lens. Proceedings of Machine Learning Research, 247, 5076-5122. picture_as_pdf
  • Wang, Tengyao, Dobriban, Edgar, Gataric, Milana, Samworth, Richard J. (2024). Sharp-SSL: selective high-dimensional axis-aligned random projections for semi-supervised learning. Journal of the American Statistical Association, 120(549), 395 - 407. https://doi.org/10.1080/01621459.2024.2340792 picture_as_pdf
  • Li, Jie, Fearnhead, Paul, Fryzlewicz, Piotr, Wang, Tengyao (2024). Authors' reply to the discussion of 'Automatic change-point detection in time series via deep learning' at the discussion meeting on 'Probabilistic and statistical aspects of machine learning'. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 86(2), 332 - 334. https://doi.org/10.1093/jrsssb/qkae008 picture_as_pdf
  • Li, Jie, Fearnhead, Paul, Fryzlewicz, Piotr, Wang, Tengyao (2024). Automatic change-point detection in time series via deep learning. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 86(2), 273 - 285. https://doi.org/10.1093/jrsssb/qkae004 picture_as_pdf
  • Wu, Qianxin, Wu, Junjing, Abdul Karim, Muhammad Kaiser, Chen, Xi, Wang, Tengyao, Iwama, Sho, Carobbio, Stefania, Keen, Peter, Vidal-Puig, Antonio & Kotter, Mark R. et al (2023). Massively parallel characterization of CRISPR activator efficacy in human induced pluripotent stem cells and neurons. Molecular Cell, 83(7), 1125 - 1139. https://doi.org/10.1016/j.molcel.2023.02.011 picture_as_pdf
  • Cai, Hanqing, Wang, Tengyao (2023). Estimation of high-dimensional change-points under a group sparsity structure. Electronic Journal of Statistics, 17(1), 858 – 894. https://doi.org/10.1214/23-EJS2116 picture_as_pdf
  • Zhu, Ziwei, Wang, Tengyao, Samworth, Richard J. (2022). High-dimensional principal component analysis with heterogeneous missingness. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 84(5), 2000 - 2031. https://doi.org/10.1111/rssb.12550 picture_as_pdf
  • Gao, Fengnan, Wang, Tengyao (2022). Two-sample testing of high-dimensional linear regression coefficients via complementary sketching. Annals of Statistics, https://doi.org/10.1214/22-AOS2216 picture_as_pdf
  • Follain, Bertille, Wang, Tengyao, Samworth, Richard J. (2022). High-dimensional changepoint estimation with heterogeneous missingness. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 84(3), 1023 - 1055. https://doi.org/10.1111/rssb.12540 picture_as_pdf
  • Chen, Cathy Yi-hsuan, Okhrin, Yarema, Wang, Tengyao (2022). Monitoring network changes in social media. Journal of Business and Economic Statistics, 1-16. https://doi.org/10.1080/07350015.2021.2016425 picture_as_pdf
  • Chen, Yudong, Wang, Tengyao, Samworth, Richard J. (2022). High-dimensional, multiscale online changepoint detection. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 84(1), 234 - 266. https://doi.org/10.1111/rssb.12447 picture_as_pdf