Year |
Citation |
Score |
2020 |
Wu Y, Qin Y, Zhu M. High‐dimensional covariance matrix estimation using a low‐rank and diagonal decomposition Canadian Journal of Statistics-Revue Canadienne De Statistique. 48: 308-337. DOI: 10.1002/Cjs.11532 |
0.316 |
|
2019 |
Hofert M, Oldford W, Prasad A, Zhu M. A framework for measuring association of random vectors via collapsed random variables Journal of Multivariate Analysis. 172: 5-27. DOI: 10.1016/J.Jmva.2019.02.012 |
0.327 |
|
2015 |
Cheng L, Zhu M, Poss JW, Hirdes JP, Glenny C, Stolee P. 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. PMID 26453354 DOI: 10.1186/S12911-015-0203-1 |
0.314 |
|
2015 |
Zhu M. Use of majority votes in statistical learning Wiley Interdisciplinary Reviews: Computational Statistics. 7: 357-371. DOI: 10.1002/Wics.1362 |
0.322 |
|
2012 |
Xin L, Zhu M. Stochastic stepwise ensembles for variable selection Journal of Computational and Graphical Statistics. 21: 275-294. DOI: 10.1080/10618600.2012.679223 |
0.357 |
|
2011 |
Fan G, Zhu M. Detection of rare items with TARGET Statistics and Its Interface. 4: 11-17. DOI: 10.4310/Sii.2011.V4.N1.A2 |
0.312 |
|
2011 |
Zhu M, Fan G. Variable selection by ensembles for the Cox model Journal of Statistical Computation and Simulation. 81: 1983-1992. DOI: 10.1080/00949655.2010.511622 |
0.339 |
|
2010 |
Gu H, Kenney T, Zhu M. Partial generalized additive models: An information-theoretic approach for dealing with concurvity and selecting variables Journal of Computational and Graphical Statistics. 19: 531-551. DOI: 10.1198/Jcgs.2010.07139 |
0.383 |
|
2008 |
Zhu M. Kernels and ensembles: Perspectives on statistical learning American Statistician. 62: 97-109. DOI: 10.1198/000313008X306367 |
0.361 |
|
2007 |
Zhu M, Chen W, Hirdes JP, Stolee P. The K-nearest neighbor algorithm predicted rehabilitation potential better than current Clinical Assessment Protocol. Journal of Clinical Epidemiology. 60: 1015-21. PMID 17884595 DOI: 10.1016/J.Jclinepi.2007.06.001 |
0.322 |
|
2006 |
Zhu M, Chipman HA. Darwinian Evolution in Parallel Universes: A Parallel Genetic Algorithm for Variable Selection Technometrics. 48: 491-502. DOI: 10.1198/004017006000000093 |
0.308 |
|
2006 |
Zhu M, Su W, Chipman HA. LAGO: A Computationally Efficient Approach for Statistical Detection Technometrics. 48: 193-205. DOI: 10.1198/004017005000000643 |
0.329 |
|
2006 |
Zhu M. Discriminant analysis with common principal components Biometrika. 93: 1018-1024. DOI: 10.1093/Biomet/93.4.1018 |
0.327 |
|
2006 |
Zhu M, Ghodsi A. Automatic dimensionality selection from the scree plot via the use of profile likelihood Computational Statistics & Data Analysis. 51: 918-930. DOI: 10.1016/J.Csda.2005.09.010 |
0.32 |
|
2005 |
Zhu M, Hastie TJ, Walther G. Constrained ordination analysis with flexible response functions Ecological Modelling. 187: 524-536. DOI: 10.1016/J.Ecolmodel.2005.01.049 |
0.487 |
|
2003 |
Zhu M, Hastie TJ. Feature Extraction for Nonparametric Discriminant Analysis Journal of Computational and Graphical Statistics. 12: 101-120. DOI: 10.1198/1061860031220 |
0.5 |
|
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