ARTICLES & PAPERS


  1. Park, Y., Su, Z. and Zhu, H. (2017), Groupwise Envelope Models for Imaging Genetics Analysis. Biometrics, to appear.

  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.