Chen, Yining

Number of items: 13.
Public
  • Baranowski, Rafal, Chen, Yining, Fryzlewicz, Piotr (2024). Multiscale autoregression on adaptively detected timescales. Statistica Sinica, [In Press] picture_as_pdf
  • Chen, Yudong, Chen, Yining (2024). Yudong Chen and Yining Chen's contribution to the discussion of ‘the discussion meeting on probabilistic and statistical aspects of machine learning’. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 86(2), 316 – 317. https://doi.org/10.1093/jrsssb/qkad145 picture_as_pdf
  • Chen, Yining, S. Torrent, Hudson, A. Ziegelmann, Flavio (2023). Robust nonparametric frontier estimation in two steps. Econometric Reviews, 42(7), 612 - 634. https://doi.org/10.1080/07474938.2023.2219183 picture_as_pdf
  • Feng, Oliver Y., Chen, Yining, Han, Qiyang, Carroll, Raymond J, Samworth, Richard J. (2022). Nonparametric, tuning-free estimation of S-shaped functions. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 84(4), 1324 - 1352. https://doi.org/10.1111/rssb.12481 picture_as_pdf
  • Makariou, Despoina, Barrieu, Pauline, Chen, Yining (2021). A random forest based approach for predicting spreads in the primary catastrophe bond market. Insurance: Mathematics and Economics, 101, 140 - 162. https://doi.org/10.1016/j.insmatheco.2021.07.003 picture_as_pdf
  • Chen, Yining (2020). Jump or kink: note on super-efficiency in segmented linear regression break-point estimation. Biometrika, https://doi.org/10.1093/biomet/asaa049 picture_as_pdf
  • Baranowski, Rafal, Chen, Yining, Fryzlewicz, Piotr (2020). Ranking-based variable selection for high-dimensional data. Statistica Sinica, 30(3), 1485 - 1516. https://doi.org/10.5705/ss.202017.0139
  • Ayorinde, John O.O., Hamed, Mazin, Goh, Mingzheng Aaron, Summers, Dominic M., Dare, Anna, Chen, Yining, Saeb-Parsy, Kourosh (2020). Development of an objective, standardized tool for surgical assessment of deceased donor kidneys: the Cambridge Kidney Assessment Tool. Clinical Transplantation, 34(2). https://doi.org/10.1111/ctr.13782 picture_as_pdf
  • Baranowski, Rafal, Chen, Yining, Fryzlewicz, Piotr (2019). Narrowest-over-threshold detection of multiple change points and change-point-like features. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 81(3), 649 - 672. https://doi.org/10.1111/rssb.12322 picture_as_pdf
  • Yagi, Daisuke, Chen, Yining, Johnson, Andrew L., Kuosmanen, Timo (2018). Shape constrained kernel-weighted least squares: Estimating production functions for Chilean manufacturing industries. Journal of Business and Economic Statistics, 0-0. https://doi.org/10.1080/07350015.2018.1431128
  • Chen, Yining, Samworth, Richard J. (2016). Generalized additive and index models with shape constraints. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 78(4), 729 - 754. https://doi.org/10.1111/rssb.12137
  • Chen, Yining, Wellner, Jon A. (2016). On convex least squares estimation when the truth is linear. Electronic Journal of Statistics, 10(1), 171-209. https://doi.org/10.1214/15-EJS1098
  • Chen, Yining (2015). Semiparametric time series models with log-concave innovations: maximum likelihood estimation and its consistency. Scandinavian Journal of Statistics, 42(1), 1-31. https://doi.org/10.1111/sjos.12092