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Yin Headshot New

Xiangrong Yin

Professor

  • 220 Statistics Building
  • Athens, GA
  • Voice: 706-542-3312
  • Fax: 706-542-3391

Education

Ph.D., School of Statistics at the University of Minnesota, 2000

Research Interests

Dimension Reduction and Data Visualization, Data Mining and Variable Selections, Theory and Application of Multivariate Methods

Other Information

Personal Page

Publications

Park, J. - H., Sriram T. N., & Yin X. (2010).  DIMENSION REDUCTION IN TIME SERIES. STATISTICA SINICA. 20, 747-770. Abstract
Iaci, R., Sriram T. N., & Yin X. (2010).  Multivariate association and dimension reduction: A generalization of canonical correlation analysis. . Biometrics. 66, 1107-1118.
Li, L., & Yin X. (2009).  Longitudinal data analysis using sufficient dimension reduction method. COMPUTATIONAL STATISTICS & DATA ANALYSIS. 53, 4106-4115. Abstract
Park, J. - H., Sriram T. N., & Yin X. (2009).  Central Mean Subspace in Time Series. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS. 18, 717-730. Abstract
Wang, Q., & Yin X. (2008).  A nonlinear multi-dimensional variable selection method for high dimensional data: Sparse MAVE. COMPUTATIONAL STATISTICS & DATA ANALYSIS. 52, 4512-4520. Abstract
Yin, X., & Sriram T. N. (2008).  Common canonical variates for independent groups using information theory. STATISTICA SINICA. 18, 335-353. Abstract
Seymour, L., & Yin X. (2008).  Estimating the dimensionality of a ridge in quadratic response surface models. Journal of Quality Technology and Quantitative Management. Special issue,
Iaci, R., Yin X., Sriram T. N., & Klingenberg C. P. (2008).  An Informational Measure of Association and Dimension Reduction for Multiple Sets and Groups With Applications in Morphometric Analysis. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION. 103, 1166-1176. Abstract
Wang, Q., & Yin X. (2008).  Sufficient dimension reduction and variable selection for regression mean function with two types of predictors. STATISTICS & PROBABILITY LETTERS. 78, 2798-2803. Abstract
Li, L., & Yin X. (2008).  A note on sliced inverse regression with regularizations - Reply. BIOMETRICS. 64, 984-986.
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