Mu Zhu, Ph.D.
Affiliations: | 2001 | Stanford University, Palo Alto, CA |
Area:
Statistics and Biostatistics (HRP)Google:
"Mu Zhu"Mean distance: 26716.5
Parents
Sign in to add mentor| Trevor Hastie | grad student | 2001 | Stanford | |
| (Feature extraction and dimension reduction with applications to classification and the analysis of co -occurrence data.) | ||||
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Publications
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| Wu Y, Qin Y, Zhu M. (2020) High‐dimensional covariance matrix estimation using a low‐rank and diagonal decomposition Canadian Journal of Statistics-Revue Canadienne De Statistique. 48: 308-337 |
| Hofert M, Oldford W, Prasad A, et al. (2019) A framework for measuring association of random vectors via collapsed random variables Journal of Multivariate Analysis. 172: 5-27 |
| Cheng L, Zhu M, Poss JW, et al. (2015) Opinion versus practice regarding the use of rehabilitation services in home care: an investigation using machine learning algorithms. Bmc Medical Informatics and Decision Making. 15: 80 |
| Zhu M. (2015) Use of majority votes in statistical learning Wiley Interdisciplinary Reviews: Computational Statistics. 7: 357-371 |
| Xin L, Zhu M. (2012) Stochastic stepwise ensembles for variable selection Journal of Computational and Graphical Statistics. 21: 275-294 |
| Fan G, Zhu M. (2011) Detection of rare items with TARGET Statistics and Its Interface. 4: 11-17 |
| Zhu M, Fan G. (2011) Variable selection by ensembles for the Cox model Journal of Statistical Computation and Simulation. 81: 1983-1992 |
| Gu H, Kenney T, Zhu M. (2010) Partial generalized additive models: An information-theoretic approach for dealing with concurvity and selecting variables Journal of Computational and Graphical Statistics. 19: 531-551 |
| Zhu M. (2008) Kernels and ensembles: Perspectives on statistical learning American Statistician. 62: 97-109 |
| Zhu M, Chen W, Hirdes JP, et al. (2007) The K-nearest neighbor algorithm predicted rehabilitation potential better than current Clinical Assessment Protocol. Journal of Clinical Epidemiology. 60: 1015-21 |