| Partial envelopes for efficient estimation in multivariate linear regression Z Su, RD Cook Biometrika 98 (1), 133-146, 2011 | 99 | 2011 |
| Inner envelopes: efficient estimation in multivariate linear regression Z Su, RD Cook Biometrika 99 (3), 687-702, 2012 | 94 | 2012 |
| Sparse envelope model: efficient estimation and response variable selection in multivariate linear regression Z Su, G Zhu, X Chen, Y Yang Biometrika 103 (3), 579-593, 2016 | 77 | 2016 |
| Impact of soil moisture and temperature on potato production using seepage and center pivot irrigation X Liao, Z Su, G Liu, L Zotarelli, Y Cui, C Snodgrass Agricultural Water Management 165, 230-236, 2016 | 64 | 2016 |
| UHPLC-Q-Orbitrap-HRMS-based global metabolomics reveal metabolome modifications in plasma of young women after cranberry juice consumption H Liu, TJ Garrett, Z Su, C Khoo, L Gu The Journal of nutritional biochemistry 45, 67-76, 2017 | 63 | 2017 |
| A note on fast envelope estimation RD Cook, L Forzani, Z Su Journal of Multivariate Analysis 150, 42-54, 2016 | 61 | 2016 |
| A Bayesian approach for envelope models K Khare, S Pal, Z Su | 58 | 2017 |
| Scaled envelopes: scale-invariant and efficient estimation in multivariate linear regression RD Cook, Z Su Biometrika 100 (4), 939-954, 2013 | 57 | 2013 |
| Estimation of multivariate means with heteroscedastic errors using envelope models Z Su, RD Cook Statistica Sinica, 213-230, 2013 | 51 | 2013 |
| Envelope-based sparse partial least squares G Zhu, Z Su The Annals of Statistics 48 (1), 161-182, 2020 | 46 | 2020 |
| Envelope quantile regression S Ding, Z Su, G Zhu, L Wang Statistica Sinica 31 (1), 79-105, 2021 | 31 | 2021 |
| Scaled predictor envelopes and partial least-squares regression RD Cook, Z Su Technometrics 58 (2), 155-165, 2016 | 31 | 2016 |
| Groupwise envelope models for imaging genetic analysis Y Park, Z Su, H Zhu Biometrics 73 (4), 1243-1253, 2017 | 30 | 2017 |
| A review of envelope models M Lee, Z Su International Statistical Review 88 (3), 658-676, 2020 | 25 | 2020 |
| NMR-based metabolomics reveals urinary metabolome modifications in female Sprague–Dawley rats by cranberry procyanidins H Liu, F Tayyari, AS Edison, Z Su, L Gu The Journal of nutritional biochemistry 34, 136-145, 2016 | 25 | 2016 |
| Effect of phosphorus fertilization on yield of chipping potato grown on high legacy phosphorus soil Y Qiu, T Fall, Z Su, F Bortolozo, W Mussoline, G England, D Dinkins, ... Agronomy 12 (4), 812, 2022 | 20 | 2022 |
| Modifications of the urinary metabolome in young women after cranberry juice consumption were revealed using the UHPLC-Q-orbitrap-HRMS-based metabolomics approach H Liu, TJ Garrett, Z Su, C Khoo, S Zhao, L Gu Food & Function 11 (3), 2466-2476, 2020 | 20 | 2020 |
| envlp: A MATLAB toolbox for computing envelope estimators in multivariate analysis RD Cook, Z Su, Y Yang Journal of Statistical Software 62, 1-20, 2015 | 20 | 2015 |
| Envelopes for elliptical multivariate linear regression L Forzani, Z Su Statistica Sinica 31 (1), 301-332, 2021 | 17 | 2021 |
| ON JUMP DETECTION IN REGRESSION CURVES USING LOCAL POLYNOMIAL KERNEL ESTIMATION. B Zhang, Z Su, P Qiu Pakistan Journal of Statistics 25 (4), 2009 | 15 | 2009 |
Archer Y. YangDepartment of Mathematics and Statistics, McGill UniversityVerified email at mcgill.ca
