2023

Wang, Daren, Yu, Yi and Willett, Rebecca (2023) Detecting abrupt changes in high-dimensional self-exciting Poisson processes. Statistica Sinica, 33 . pp. 1653-1671. doi:10.5705/ss.202021.0221 ISSN 1017-0405.

2022

Daren, Wang, Zhao, Zifeng, Yu, Yi and Willett, Rebecca (2022) Functional linear regression with mixed predictors. Journal of Machine Learning Research, 23 (266). pp. 1-94. ISSN 1532-4435.

Yu, Yi, Chatterjee, Sabyasachi and Xu, Haotian (2022) Localising change points in piecewise polynomials of general degrees. Electronic Journal of Statistics, 16 (1). pp. 1855-1890. doi:10.1214/21-EJS1963 ISSN 1935-7524.

Padilla, Oscar Hernan Madrid, Yu, Yi, Wang, Daren and Rinaldo, Alessandro (2022) Optimal nonparametric multivariate change point detection and localization. IEEE Transactions on Information Theory, 68 (3). pp. 1922-1944. doi:10.1109/TIT.2021.3130330 ISSN 0018-9448.

Hu, Yaofang, Wang, Wanjie and Yu, Yi (2022) Graph matching beyond perfectly-overlapping Erdős–Rényi random graphs. Statistics and Computing, 32 (1). 19. doi:10.1007/s11222-022-10079-1 ISSN 0960-3174.

Li, Mengchu and Yu, Yi (2022) Adversarially robust change point detection. In: NeurIPS : 35th Conference on Neural Information Processing Systems, Virtual, 6-14 Dec 2022. Published in: Advances in Neural Information Processing Systems (NeurIPS 2021), 28 pp. 22955-22967. ISBN 9781713845393. ISSN 1049-5258.

Padilla, Oscar Hernan Madrid, Yu, Yi and Priebe, Carey E. (2022) Change point localization in dependent dynamic nonparametric random dot product graphs. Journal of Machine Learning Research, 23 (234). pp. 1-59. ISSN 1532-4435.

Padilla, Carlos Misael Madrid, Wang, Daren, Zhao, Zifeng and Yu, Yi (2022) Change-point detection for sparse and dense functional data in general dimensions. In: 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, USA, 28 Nov - 09 Dec 2022. Published in: Advances in Neural Information Processing Systems (35). pp. 37121-37133. ISBN 9781713871088. ISSN 1049-5258.

Wang, Fan, Madrid, Oscar, Yu, Yi and Rinaldo, Alessandro (2022) Denoising and change point localisation in piecewise-constant high-dimensional regression coefficients. In: 25th International Conference on Artificial Intelligence and Statistics, Virtual conference, 28-30 Mar 2022. Published in: Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, 151 pp. 4309-4338.

Padilla, Oscar Hernan Madrid, Yu, Yi and Rinaldo, Alessandro (2022) Lattice partition recovery with dyadic CART. In: NeurIPS : 35th Conference on Neural Information Processing Systems, Virtual, 6-14 Dec 2022. Published in: Advances in Neural Information Processing Systems (NeurIPS 2021), 31 pp. 26143-26155. ISBN 9781713845393.

Li, Mengchu, Berrett, Thomas B. and Yu, Yi (2022) Network change point localisation under local differential privacy. In: Thirty-sixth Conference on Neural Information Processing Systems, New Orleans, USA, 28 Nov - 09 Dec 2022. Published in: Advances in Neural Information Processing Systems 35 (NeurIPS 2022) , 35 pp. 15013-15026. ISBN 9781713871088.

Yu, Yi, Madrid, Oscar and Rinaldo, Alessandro (2022) Optimal partition recovery in general graphs. In: 25th International Conference on Artificial Intelligence and Statistics, Online, 28-30 Mar 2022. Published in: Proceedings of Machine Learning Research, 151 pp. 4339-4358. ISSN 2640-3498.

2021

Berrett, Thomas and Yu, Yi (2021) Locally private online change point detection. In: NeurIPS 2022, New Orleans, La, USA, 28 Nov - 09 Dec 2022. Published in: Advances in Neural Information Processing Systems (Submitted)

Sit, By T., Ying, Z. and Yu, Yi (2021) Event history analysis of dynamic communication networks. Biometrika, 108 (1). pp. 223-230. doi:10.1093/biomet/asaa045 ISSN 0006-3444.

Wang, Daren, Yu, Yi and Rinaldo, Alessandro (2021) Optimal change point detection and localization in sparse dynamic networks. The Annals of Statistics, 49 (1). pp. 203-232. doi:10.1214/20-AOS1953 ISSN 0090-5364.

Wang, Daren, Yu, Yi and Rinaldo, Alessandro (2021) Optimal covariance change point detection in high dimension. Bernoulli, 27 (1). pp. 554-575. doi:10.3150/20-BEJ1249 ISSN 1350-7265.

2020

Wang, Daren, Yu, Yi and Rinaldo, Alessandro (2020) Univariate mean change point detection : penalization, CUSUM and optimality. Electronic Journal of Statistics, 14 (1). pp. 1917-1961. doi:10.1214/20-EJS1710 ISSN 1935-7524.

Yu, Yi, Bradic, Jelena and Samworth, Richard J. (2020) Confidence intervals for high-dimensional Cox models. Statistica Sinica, 31 . pp. 243-267. ISSN 1017-0405.

2019

Law, Martin, Alam, Navid, Veroniki, Areti Angeliki, Yu, Yi and Jackson, Dan (2019) Two new approaches for the visualisation of models for network meta-analysis. BMC Medical Research Methodology, 19 (1). doi:10.1186/s12874-019-0689-9 ISSN 1471-2288.

Feng, Yang and Yu, Yi (2019) The restricted consistency property of leave-nv-out cross-validation for high-dimensional variable selection. Statistica Sinica, 29 . pp. 1607-1630. doi:10.5705/ss.202015.0394 ISSN 1017-0405.

Fiecas, Mark, Leng, Chenlei, Liu, Weidong and Yu, Yi (2019) Spectral analysis of high-dimensional time series. Electronic Journal of Statistics, 13 (2). pp. 4079-4101. doi:10.1214/19-EJS1621 ISSN 1935-7524.

2018

Cho, Haeran and Yu, Yi (2018) Link prediction for interdisciplinary collaboration via co-authorship network. Social Network Analysis and Mining, 8 (1). doi:10.1007/s13278-018-0501-6 ISSN 1869-5450 .

2017

Cribben, Ivor and Yu, Yi (2017) Estimating whole-brain dynamics by using spectral clustering. Journal of the Royal Statistical Society: Series C (Applied Statistics), 66 (3). pp. 607-627. doi:10.1111/rssc.12169 ISSN 00359254.

Saldaña, D. Franco, Yu, Yi and Feng, Yang (2017) How many communities are there? Journal of Computational and Graphical Statistics, 26 (1). pp. 171-181. doi:10.1080/10618600.2015.1096790 ISSN 1061-8600.

2015

Yu, Yi, Wang, T. and Samworth, R. J. (2015) A useful variant of the Davis–Kahan theorem for statisticians. Biometrika, 102 (2). pp. 315-323. doi:10.1093/biomet/asv008 ISSN 0006-3444.

2014

Yu, Yi and Feng, Yang (2014) Modified cross-validation for penalized high-dimensional linear regression models. Journal of Computational and Graphical Statistics, 23 (4). pp. 1009-1027. doi:10.1080/10618600.2013.849200 ISSN 1061-8600.

Yu, Yi and Feng, Yang (2014) APPLE : approximate path for penalized likelihood estimators. Statistics and Computing, 24 (5). pp. 803-819. doi:10.1007/s11222-013-9403-7 ISSN 0960-3174.

2013

Huang, Jian, Sun, Tingni, Ying, Zhiliang, Yu, Yi and Zhang, Cun-Hui (2013) Oracle inequalities for the lasso in the Cox model. The Annals of Statistics, 41 (3). pp. 1142-1165. doi:10.1214/13-AOS1098 ISSN 0090-5364.