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Author [ Title(Desc)] Type Year
A
Hofert, M., Prasad, A. & Zhu, M., 2022. Applications of multivariate quasi-random sampling with neural networks. In Monte Carlo and Quasi-Monte Carlo Methods, MCQMC 2020. Springer, pp. 273–289. Available at: https://doi.org/10.1007/978-3-030-98319-2_14.
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.
C
Young, S.S., Yuan, F. & Zhu, M., 2012. Chemical descriptors are more important than learning algorithms for modelling. Molecular Informatics, 31, pp.707–710. Available at: http://doi.org/10.1002/minf.201200031.
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.
Forbes, P. & Zhu, M., 2011. Content-boosted matrix factorization for recommender systems: Experiments with recipe recommendation. In Proceedings of the 5th ACM Conference on Recommender Systems. pp. 261–264. Available at: http://doi.org/10.1145/2043932.2043979.
Nguyen, J. & Zhu, M., 2013. Content-boosted matrix factorization techniques for recommender systems. Statistical Analysis and Data Mining: The ASA Data Science Journal, 6, pp.286–301. Available at: http://doi.org/10.1002/sam.11184.
Xin, L., Zhu, M. & Chipman, H.A., 2017. A continuous-time stochastic block model for basketball networks. Annals of Applied Statistics, 11, pp.553–597. Available at: http://doi.org/10.1214/16-AOAS993.
Zhu, M. & Lu, A.Y., 2004. The counter-intuitive non-informative prior for the Bernoulli family. Journal of Statistics Education, 12, p.2. Available at: http://doi.org/10.1080/10691898.2004.11910734.
D
Hofert, M., Prasad, A. & Zhu, M., Accepted. Dependence model assessment and selection with DecoupleNets. Journal of Computational and Graphical Statistics. Available at: https://doi.org/10.1080/10618600.2022.2157835.
Fan, G. & Zhu, M., 2011. Detection of rare items with TARGET. Statistics and Its Interface, 4, pp.11–17. Available at: http://doi.org/10.4310/SII.2011.v4.n1.a2.
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.
Hastie, T.J. & Zhu, M., 2001. Discussion of "Dimension reduction and visualization in discriminant analysis" by Cook and Yin. Australian and New Zealand Journal of Statistics, 43, pp.179–185.
E
Murdoch, W.J. & Zhu, M., 2016. Expanded alternating optimization for matrix factorization and penalized regression. In Proceedings of the 22nd International Conference on Computational Statistics. pp. 217–229. Available at: http://www.compstat2016.org/docs/COMPSTAT2016_proceedings.pdf?20160807205859.
F
Kustra, R., Shioda, R. & Zhu, M., 2006. A factor analysis model for functional genomics. BMC Bioinformatics, 7, p.216. Available at: http://doi.org/10.1186/1471-2105-7-216.
Zhu, M. & Hastie, T.J., 2003. Feature extraction for nonparametric discriminant analysis. Journal of Computational and Graphical Statistics, 12, pp.101–120. Available at: http://doi.org/10.1198/1061860031220.
Cheng, L. & Zhu, M., 2021. First-order correction of statistical significance for screening two-way epistatic interactions. In Epistasis: Methods and Protocols. Springer, pp. 181–190. Available at: http://doi.org/10.1007/978-1-0716-0947-7_12.

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