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Zhu, M., 2019. On fitting complex models to noisy data. In Proceedings of the International Conference on Statistics: Theory and Applications. pp. 34.1–34.7. Available at: http://doi.org/10.11159/icsta19.34.
Zhu, M., 2015. Use of majority votes in statistical learning. Wiley Interdisciplinary Reviews: Computational Statistics, 7, pp.357–371. Available at: http://doi.org/10.1002/wics.1362.
Zhu, M. et al., 2014. Using machine learning to plan rehabilitation for home care clients: Beyond "black-box" predictions. In Machine Learning in Healthcare Informatics. Springer, pp. 181–207. Available at: http://doi.org/10.1007/978-3-642-40017-9_9.
Zhu, M., 2014. Making personalized recommendations in e-commerce. In Statistics in Action: A Canadian Outlook. Chapman & Hall, pp. 259–268. Available at: http://ssc.ca/sites/default/files/data/Members/public/Publications/BookFiles/Book/259-268.pdf.
Zhu, M., Wang, S. & Xin, L., 2012. On individual neutrality and collective decision making. The Mathematical Scientist, 37, pp.141–146. Available at: http://www.appliedprobability.org/data/files/TMS%20articles/37_2_8.pdf.
Zhu, M. & Fan, G., 2011. Variable selection by ensembles for the Cox model. Journal of Statistical Computation and Simulation, 81, pp.1983–1992. Available at: http://doi.org/10.1080/00949655.2010.511622.
Zhu, M., 2010. Predictive analytics: Managing fundamental tradeoffs. Analytics, September-October, 2010, pp.18–21. Available at: http://viewer.zmags.com/publication/b0fd98bd#/b0fd98bd/19.
Zhu, M. & Hastie, T.J., 2010. Letter to the editor. Journal of the American Statistical Association, 105, pp.880–881. Available at: http://doi.org/10.1198/jasa.2010.tm09295.
Zhu, M., 2008. Kernels and ensembles: Perspectives on statistical learning. The American Statistician, 62, pp.97–109. Available at: http://doi.org/10.1198/000313008X306367.
Zhu, M., 2008. How to draw a trilinear plot?. ASA Statistical Computing and Graphics Newsletter, 19, pp.7–9. Available at: http://stat-computing.org/newsletter/issues/scgn-19-1.pdf.
Zhu, M. et al., 2007. Using machine learning algorithms to guide rehabilitation planning for home care clients. BMC Medical Informatics and Decision Making, 7, p.41. Available at: http://doi.org/10.1186/1472-6947-7-41.
Zhu, M., Su, W. & Chipman, H.A., 2006. LAGO: A computationally efficient approach for statistical detection. Technometrics, 48, pp.193–205. Available at: http://doi.org/10.1198/004017005000000643.
Zhu, M., 2006. Discriminant analysis with common principal components. Biometrika, 93, pp.1018–1024. Available at: http://doi.org/10.1093/biomet/93.4.1018.
Zhu, M. & Ghodsi, A., 2006. Automatic dimensionality selection from the scree plot via the use of profile likelihood. Computational Statistics & Data Analysis, 51, pp.918–930. Available at: http://doi.org/10.1016/j.csda.2005.09.010.
Zhu, M., Hastie, T.J. & Walther, G., 2005. Constrained ordination analysis with flexible response functions. Ecological Modelling, 187, pp.524–536. Available at: http://doi.org/10.1016/j.ecolmodel.2005.01.049.
Zhu, M., 2004. On the forward and backward algorithms of projection pursuit. Annals of Statistics, 32, pp.233–244. Available at: http://doi.org/10.1214/aos/1079120135.

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