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Model-free variable selection

Li, L., Cook, R. D. & Nachtsheim, C. J., Apr 18 2005, In : Journal of the Royal Statistical Society. Series B: Statistical Methodology. 67, 2, p. 285-299 15 p.

Research output: Contribution to journalArticle

57 Scopus citations

Model robust, linear-optimal designs

Cook, R. D. & Nachtsheim, C. J., Feb 1982, In : Technometrics. 24, 1, p. 49-54 6 p.

Research output: Contribution to journalArticle

69 Scopus citations

Model selection confidence sets by likelihood ratio testing

Zheng, C., Ferrari, D. & Yang, Y., 2019, In : Statistica Sinica. 29, 2, p. 827-851 25 p.

Research output: Contribution to journalArticle

1 Scopus citations

Model selection for estimating treatment effects

Rolling, C. A. & Yang, Y., Sep 2014, In : Journal of the Royal Statistical Society. Series B: Statistical Methodology. 76, 4, p. 749-769 21 p.

Research output: Contribution to journalArticle

11 Scopus citations

Model selection for high-dimensional data

Shen, X. & Zhang, Y., 2010, In : Statistical Analysis and Data Mining. 3, p. 350-358

Research output: Contribution to journalArticle

54 Scopus citations

Model selection for nonparametric regression

Yang, Y., Apr 1999, In : Statistica Sinica. 9, 2, p. 475-499 25 p.

Research output: Contribution to journalArticle

40 Scopus citations

Model selection procedure for high-dimensional data

Zhang, Y. & Shen, X., Oct 1 2010, In : Statistical Analysis and Data Mining. 3, 5, p. 350-358 9 p.

Research output: Contribution to journalArticle

19 Scopus citations

Model Selection Techniques: An Overview

Ding, J., Tarokh, V. & Yang, Y., Nov 2018, In : IEEE Signal Processing Magazine. 35, 6, p. 16-34 19 p., 8498082.

Research output: Contribution to journalArticle

10 Scopus citations

Model selection via standard error adjusted adaptive lasso

Qian, W. & Yang, Y., Apr 1 2013, In : Annals of the Institute of Statistical Mathematics. 65, 2, p. 295-318 24 p.

Research output: Contribution to journalArticle

5 Scopus citations

Moderate deviation for random elliptic PDE with small noise

Li, X., Liu, J., Lu, J. & Zhou, X., Oct 2018, In : Annals of Applied Probability. 28, 5, p. 2781-2813 33 p.

Research output: Contribution to journalArticle

Moderate deviations for some weakly dependent random processes

Jiang, T., Wang, X. & Rao, M. B., 1992, In : Statistics and Probability Letters. 15, 1, p. 71-76 6 p.

Research output: Contribution to journalArticle

6 Scopus citations

Moments of traces of circular beta-ensembles

Jiang, T. & Matsumoto, S., Jan 1 2015, In : Annals of Probability. 43, 6, p. 3279-3336 58 p.

Research output: Contribution to journalArticle

5 Scopus citations

Monte Carlo likelihood inference for missing data models

Sung, Y. J. & Geyer, C. J., Jul 1 2007, In : Annals of Statistics. 35, 3, p. 990-1011 22 p.

Research output: Contribution to journalArticle

19 Scopus citations

Monte Carlo Minimiza- tion for One-Step Ahead Sequential Control

Geyer, C. J., Chen, L. S. & Geisser, S., 1999, In : Diagnosis and Prediction. 144, p. 109-129

Research output: Contribution to journalArticle

More efficient inferences using ranking information obtained from judgment sampling

Meeden, G. & Lee, B. R., Jan 1 2014, In : Journal of Survey Statistics and Methodology. 2, 1, p. 38-57 20 p.

Research output: Contribution to journalArticle

1 Scopus citations

Movements of Sodium and Potassium into Epididymal Boar Spermatozoa

Weisberg, S., Zimmerman, K., Crabo, B., Moore, E., Diebel, F. & Graham, E., 1979, In : Biological Reproduction. 21, p. 173-179

Research output: Contribution to journalArticle

7 Scopus citations

Multicategory support vector machines, feature selection and solution path

Shen, X. & Wang, L., 2006, In : Statistica Sinica. 16, p. 617-634

Research output: Contribution to journalArticle

Multi-category support vector machines, feature selection and solution path

Wang, L. & Shen, X. T., Apr 1 2006, In : Statistica Sinica. 16, 2, p. 617-633 17 p.

Research output: Contribution to journalArticle

21 Scopus citations

Multicategory SVM and -learning-Computational tools

Shen, X., Liu, YF. & Doss, H., 2005, In : Journal of Computational & Graphical Statistics. 14, p. 219-236

Research output: Contribution to journalArticle

Multicategory SVM and -learning-methodology and theory

Shen, X. & Liu, YF., 2006, In : Journal of the American Statistical Association. 101, p. 500-509

Research output: Contribution to journalArticle

Multicategory Ψ-Learning and support vector machine: Computational tools

Liu, Y., Shen, X. & Doss, H., Mar 1 2005, In : Journal of Computational and Graphical Statistics. 14, 1, p. 219-236 18 p.

Research output: Contribution to journalArticle

85 Scopus citations

Multicategory ψ-learning

Liu, Y. & Shen, X., Jun 1 2006, In : Journal of the American Statistical Association. 101, 474, p. 500-509 10 p.

Research output: Contribution to journalArticle

108 Scopus citations

Multi-class AdaBoost

Zou, H., Zhu, J., Rosset, S. & Hastie, T., 2009, In : Statistics and its Interface. 2, p. 349-360

Research output: Contribution to journalArticle

Multiclass sparse discriminant analysis

Mai, Q., Yang, Y. & Zou, H., Jan 1 2019, In : Statistica Sinica. 29, 1, p. 97-111 15 p.

Research output: Contribution to journalArticle

9 Scopus citations

Multidimensional response surfaces in the characterization, comparison and optimization of membranes

Fuls, P. F., Galpin, J. S., Fatti, L. P., Hawkins, D. M. & Hayman, J. P., 1987, In : Desalination. 61, 2, p. 103-123 21 p.

Research output: Contribution to journalArticle

Multilayer tensor factorization with applications to recommender systems

Bi, X., Qu, A. & Shen, X., Jan 1 2018, In : Annals of Statistics. 46, 6B, p. 3308-3333 26 p.

Research output: Contribution to journalArticle

3 Scopus citations

Multilocus association testing with penalized regression

Basu, S., Pan, W., Shen, X. & Oetting, W. S., Dec 1 2011, In : Genetic epidemiology. 35, 8, p. 755-765 11 p.

Research output: Contribution to journalArticle

11 Scopus citations

Multiplicative models for Dyad Formation

Larntz, K. & Weisberg, S., 1976, In : Journal of the American Statistical Association. 71, 354, p. 455-461 7 p.

Research output: Contribution to journalArticle

12 Scopus citations

Multiscale Bayesian data rectica- tion of linear steady-state and dynamic systems without accurate models

Bakshi, R. B., Nounou, M. N., Goel, P. K. & Shen, X., 2001, In : Industrial & Engineering Chemistry Research. 40, p. 261-274

Research output: Contribution to journalArticle

Multiscale Bayesian rectification of data from linear steady-state and dynamic systems without accurate models

Bakshi, B. R., Nounou, M. N., Goel, P. K. & Shen, X., Jan 1 2001, In : Industrial and Engineering Chemistry Research. 40, 1, p. 261-274 14 p.

Research output: Contribution to journalArticle

13 Scopus citations

Multitask Quantile Regression Under the Transnormal Model

Fan, J., Xue, L. & Zou, H., Oct 1 2016, In : Journal of the American Statistical Association. 111, 516, p. 1726-1735 10 p.

Research output: Contribution to journalArticle

Open Access
9 Scopus citations

Multivariate Design of Experiments for Engineering Dimensional Analysis

Eck, D. J., Cook, R. D., Nachtsheim, C. J. & Albrecht, T. A., Jan 2 2020, In : Technometrics. 62, 1, p. 6-20 15 p.

Research output: Contribution to journalArticle

1 Scopus citations

Multivariate exponentially weighted moving covariance matrix

Hawkins, D. M. & Maboudou-Tchao, E. M., May 1 2008, In : Technometrics. 50, 2, p. 155-166 12 p.

Research output: Contribution to journalArticle

72 Scopus citations

Multivariate initial sequence estimators in Markov chain Monte Carlo

Dai, N. & Jones, G., Jul 2017, In : Journal of Multivariate Analysis. 159, p. 184-199 16 p.

Research output: Contribution to journalArticle

7 Scopus citations

Multivariate output analysis for Markov chain Monte Carlo

Vats, D., Flegal, J. M. & Jones, G. L., Jan 1 2019, In : Biometrika. 106, 2, p. 321-337 17 p., asz002.

Research output: Contribution to journalArticle

9 Scopus citations

Multivariate quality control based on regression-adiusted variables

Hawkins, D. M., Feb 1991, In : Technometrics. 33, 1, p. 61-75 15 p.

Research output: Contribution to journalArticle

310 Scopus citations

Natural diamonds-Major, minor and trace impurities in relation to source and physical properties

Erasmus, C. S., Sellschop, J. P. F., Bibby, D. M., Fesq, H. W., Kable, E. J. D., Keddy, R. J., Hawkins, D. M., Mingay, D. W., Rasmussen, S. E., Renan, M. J. & Watterson, J. I. W., Mar 1977, In : Journal of Radioanalytical Chemistry. 38, 1-2, p. 133-146 14 p.

Research output: Contribution to journalArticle

10 Scopus citations

Natural variation in RPS2-mediated resistance among Arabidopsis accessions: Correlation between gene expression profiles and phenotypic responses

Van Poecke, R. M. P., Sato, M., Lenarz-Wyatt, L., Weisberg, S. & Katagiri, F., Dec 2007, In : Plant Cell. 19, 12, p. 4046-4060 15 p.

Research output: Contribution to journalArticle

33 Scopus citations

Necessary and sufficient conditions for consistency of A method for smoothed functional inverse regression

Cook, R. D., Forzani, L. & Yao, A. F., Jan 2010, In : Statistica Sinica. 20, 1, p. 235-238 4 p.

Research output: Contribution to journalArticle

10 Scopus citations

Need a hint?

Weisberg, S. & Wickham, H., 2007, In : R Newsletter. 7

Research output: Contribution to journalArticle

22 Scopus citations

Needle core length in sextant biopsy influences prostate cancer detection rate

Iczkowski, K. A., Casella, G., Seppala, R. J., Jones, G. L., Mishler, B. A., Qian, J. & Bostwick, D. G., May 13 2002, In : Urology. 59, 5, p. 698-703 6 p.

Research output: Contribution to journalArticle

67 Scopus citations

Network analysis for active and passive propagation models

Kim, I. J., Barthel, B. P., Park, Y., Tait, J. R., Dobmeier, J. L., Kim, S. & Shin, D., Mar 1 2014, In : Networks. 63, 2, p. 160-169 10 p.

Research output: Contribution to journalArticle

5 Scopus citations

Network-Based Penalized Regression With Application to Genomic Data

Kim, S., Pan, W. & Shen, X., Sep 2013, In : Biometrics. 69, 3, p. 582-593 12 p.

Research output: Contribution to journalArticle

25 Scopus citations

Network-based support vector machine for classification of microarray samples

Zhu, Y., Shen, X. T. & Pan, W., Jan 30 2009, In : BMC bioinformatics. 10, SUPPL. 1, S21.

Research output: Contribution to journalArticle

65 Scopus citations

Neural indices of phonemic discrimination and sentence-level speech intelligibility in quiet and noise: A mismatch negativity study

Koerner, T. K., Zhang, Y., Nelson, P. B., Wang, B. & Zou, H., Sep 1 2016, In : Hearing Research. 339, p. 40-49 10 p.

Research output: Contribution to journalArticle

16 Scopus citations

Neural indices of phonemic discrimination and sentence-level speech intelligibility in quiet and noise: A P3 study

Koerner, T. K., Zhang, Y., Nelson, P. B., Wang, B. & Zou, H., Jul 1 2017, In : Hearing Research. 350, p. 58-67 10 p.

Research output: Contribution to journalArticle

6 Scopus citations

New approaches to model-free dimension reduction for bivariate regression

Wen, X. M. & Cook, R. D., Mar 1 2009, In : Journal of Statistical Planning and Inference. 139, 3, p. 734-748 15 p.

Research output: Contribution to journalArticle

4 Scopus citations

New diagnostic methods for mixed model analysis of variance

Beckman, R., Cook, R. D. & Nachtsheim, C. J., 1987, In : Technometrics. 29, p. 413-426

Research output: Contribution to journalArticle

New efficient estimation and variable selection methods for semiparametric varying-coefficient partially linear models

Kai, B., Li, R. & Zou, H., Feb 1 2011, In : Annals of Statistics. 39, 1, p. 305-332 28 p.

Research output: Contribution to journalArticle

188 Scopus citations

New Exploratory Tools for Extremal Dependence: χ Networks and Annual Extremal Networks

Huang, W. K., Cooley, D. S., Ebert-Uphoff, I., Chen, C. & Chatterjee, S., Sep 15 2019, In : Journal of Agricultural, Biological, and Environmental Statistics. 24, 3, p. 484-501 18 p.

Research output: Contribution to journalArticle

1 Scopus citations