| Narrowest-over-threshold detection of multiple change points and change-point-like features R Baranowski, Y Chen, P Fryzlewicz Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2019 | 157 | 2019 |
| Early graft loss after kidney transplantation: risk factors and consequences MO Hamed, Y Chen, L Pasea, CJ Watson, N Torpey, JA Bradley, ... American Journal of Transplantation 15 (6), 1632-1643, 2015 | 148 | 2015 |
| Analysis of ischemia/reperfusion injury in time‐zero biopsies predicts liver allograft outcomes JM Ali, SE Davies, RJ Brais, LV Randle, JR Klinck, MED Allison, Y Chen, ... Liver transplantation 21 (4), 487-499, 2015 | 129 | 2015 |
| Alloantibody responses after renal transplant failure can be better predicted by donor–recipient HLA amino acid sequence and physicochemical disparities than conventional HLA … V Kosmoliaptsis, DH Mallon, Y Chen, EM Bolton, JA Bradley, CJ Taylor American journal of transplantation 16 (7), 2139-2147, 2016 | 114 | 2016 |
| Generalized additive and index models with shape constraints Y Chen, RJ Samworth Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2016 | 100 | 2016 |
| Smoothed log-concave maximum likelihood estimation with applications Y Chen, RJ Samworth Statistica Sinica, 1373-1398, 2013 | 69 | 2013 |
| Baseline donor chronic renal injury confers the same transplant survival disadvantage for DCD and DBD kidneys V Kosmoliaptsis, M Salji, V Bardsley, Y Chen, S Thiru, MH Griffiths, ... American Journal of Transplantation 15 (3), 754-763, 2015 | 50 | 2015 |
| A random forest based approach for predicting spreads in the primary catastrophe bond market D Makariou, P Barrieu, Y Chen Insurance: Mathematics and Economics 101, 140-162, 2021 | 34 | 2021 |
| Shape-constrained kernel-weighted least squares: Estimating production functions for Chilean manufacturing industries D Yagi, Y Chen, AL Johnson, T Kuosmanen Journal of Business & Economic Statistics 38 (1), 43-54, 2020 | 32 | 2020 |
| On convex least squares estimation when the truth is linear Y Chen, JA Wellner Electronic journal of statistics 10 (1), 171, 2016 | 13 | 2016 |
| Ranking-based variable selection for high-dimensional data R Baranowski, Y Chen, P Fryzlewicz Statistica Sinica 30 (3), 1485-1516, 2020 | 12 | 2020 |
| Semiparametric time series models with log‐concave innovations: maximum likelihood estimation and its consistency Y Chen Scandinavian Journal of Statistics 42 (1), 1-31, 2015 | 11 | 2015 |
| Jump or kink: on super-efficiency in segmented linear regression breakpoint estimation Y Chen Biometrika 108 (1), 215-222, 2021 | 7 | 2021 |
| Development of an objective, standardized tool for surgical assessment of deceased donor kidneys: The Cambridge Kidney Assessment Tool JOO Ayorinde, M Hamed, MA Goh, DM Summers, A Dare, Y Chen, ... Clinical transplantation 34 (2), e13782, 2020 | 6 | 2020 |
| Nonparametric, tuning-free estimation of S-shaped functions OY Feng, Y Chen, Q Han, RJ Carroll, RJ Samworth arXiv preprint arXiv:2107.07257, 2021 | 4 | 2021 |
| An axiomatic nonparametric production function estimator: Modeling production in Japan's cardboard industry D Yagi, Y Chen, AL Johnson, H Morita arXiv preprint arXiv:1906.08359, 2019 | 2 | 2019 |
| Package ‘scar’ Y Chen, R Samworth, MY Chen | | 2022 |
| Package ‘not’ R Baranowski, Y Chen, P Fryzlewicz, MR Baranowski | | 2022 |
| Package 'Sshaped' OY Feng, Y Chen, Q Han, RJ Carroll, RJ Samworth https://cran.r-project.org/web/packages/Sshaped/index.html, 2021 | | 2021 |
| Package ‘LogConcDEAD’ M Cule, R Gramacy, R Samworth, Y Chen | | 2020 |
