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Authors: Tengyao Wang
Journal Article
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’ Open Access
Journal of the Royal Statistical Society Series B: Statistical Methodology, Volume 86, Issue 2, April 2024, Pages 332–334, https://doi.org/10.1093/jrsssb/qkae008
Published: 29 January 2024
Journal Article
Automatic change-point detection in time series via deep learning Open Access
Journal of the Royal Statistical Society Series B: Statistical Methodology, Volume 86, Issue 2, April 2024, Pages 273–285, https://doi.org/10.1093/jrsssb/qkae004
Published: 11 January 2024
Journal Article
High-Dimensional Principal Component Analysis with Heterogeneous Missingness Open Access
Journal of the Royal Statistical Society Series B: Statistical Methodology, Volume 84, Issue 5, November 2022, Pages 2000–2031, https://doi.org/10.1111/rssb.12550
Published: 20 November 2022
Journal Article
High-dimensional Changepoint Estimation with Heterogeneous Missingness Open Access
Journal of the Royal Statistical Society Series B: Statistical Methodology, Volume 84, Issue 3, July 2022, Pages 1023–1055, https://doi.org/10.1111/rssb.12540
Published: 11 July 2022
Journal Article
High-Dimensional, Multiscale Online Changepoint Detection Open Access
Journal of the Royal Statistical Society Series B: Statistical Methodology, Volume 84, Issue 1, February 2022, Pages 234–266, https://doi.org/10.1111/rssb.12447
Published: 23 January 2022
Journal Article
Sparse Principal Component Analysis via Axis-Aligned Random Projections Open Access
Journal of the Royal Statistical Society Series B: Statistical Methodology, Volume 82, Issue 2, April 2020, Pages 329–359, https://doi.org/10.1111/rssb.12360
Published: 28 January 2020
Journal Article
High Dimensional Change Point Estimation via Sparse Projection Open Access
Journal of the Royal Statistical Society Series B: Statistical Methodology, Volume 80, Issue 1, January 2018, Pages 57–83, https://doi.org/10.1111/rssb.12243
Published: 11 August 2017
