ARTICLES & PAPERS


  1. Park, Y., Su, Z. and Zhu, H. (2017), Groupwise Envelope Models for Imaging Genetics Analysis. Biometrics, 73, 1243-1253.

  2. Liu, H., Garrettb, T. J., Su, Z., Khoo, C., and Gu, L. (2017), UHPLC-Q-Orbitrap-HRMS-based Global Metabolomics Reveal Metabolome Modifications in Plasma of Young Women After Cranberry Juice Consumption. Journal of Nutritional Biochemistry, 45, 67-76.

  3. Su, Z., Zhu, G., Chen, X. and Yang, Y. (2016), Sparse Envelope Model: Efficient Estimation and Response Variable Selection in Multivariate Linear Regression. Biometrika. 103, 579-593.

  4. Liu, H., Tayyari, F., Edison, A., Su, Z. and Gu, L. (2016), NMR-Based Metabolomics Reveals Urinary Metabolome Modifications in Female Sprague-Dawley Rats by Cranberry Procyanidins. Journal of Nutritional Biochemistry. 34, 136-145.

  5. Cook, R. D., Forzani, L. and Su, Z. (2016), A Note on Fast Envelope Estimation. Journal of Multivariate Analysis. 150, 42-54.

  6. Khare, K., Pal, S. and Su, Z. (2017), A Bayesian Approach for Envelope Models. Annals of Statistics. 45, 196-222.

  7. Cook, R. D. and Su, Z. (2016), Scaled Predictor Envelopes and Partial Least Squares Regression. Technometrics, 58, 155-165.

  8. Liao, X., Su, Z., Liu. G., Zotarelli, L., Cui, Y. and Snodgrass, C. (2016), Impact of Soil Moisture and Temperature on Potato Production Using Seepage and Center Pivot Irrigation. Agricultural Water Management. 165, 230-236.

  9. Cook, R. D., Su, Z. and Yang, Y. (2015), envlp: A MATLAB Toolbox for Computing Envelope Estimators in Multivariate Linear Regression. Journal of Statistical Software. Doi: 10.18637/jss.v062.i08.

  10. Cook, R. D. and Su, Z. (2013), Scaled Envelopes: Scale Invariant and Efficient Estimation in Multivariate Linear Regression. Biometrika. 100, 921-938.

  11. Cook, R. D., Helland, I. S. and Su, Z. (2013), Envelopes and Partial Least Squares Regression. Journal of the Royal Statistical Society: Series B., 75, 851-877.

  12. Su, Z. and Cook, R. D. (2013), Estimation of Multivariate Means with Heteroscedastic Error Using Envelope Models. Statistica Sinica, 23, 213-230.

  13. Su, Z. and Cook, R. D. (2012), Inner Envelopes: Efficient Estimation in Multivariate Linear Regression. Biometrika, 99, 687-702.

  14. Su, Z. and Cook, R. D. (2011), Partial Envelopes for Efficient Estimation in Multivariate Linear Regression, Biometrika, 98, 133-146.

  15. Cook, R. D., Li, B., Chiaromonte, F. and Su, Z. (2010), Rejoinder of “Envelope Models for Parsimonious and Efficient Multivariate Linear Regression”, Statistica Sinica, 20, 999-1010.