University of Minnesota
Statistics
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School of Statistics' home page.

Mr Xiaotong Shen

Poertrait: Xiaotong Shen

Mr Xiaotong Shen

School of Statistics 384 Ford Hall 224 Church St SE

Department Affiliations

University Affiliations

  • Liberal Arts: Statistics [Website]

Specialties

  • Statistical learning and data mining
  • Statistical applications in engineering and health science.
  • Nonparametric and semiparametric modeling

Educational Background

  • Ph.D.: Statistics, University of Chicago, Chicago, IL, 1991.

Publications

  • Rates of convergence of posterior distributions: Shen, Xiaotong, L. Wasserman, The Annals of Statistics, 2001.
  • On psi-learning: Shen, Xiaotong, G., Tseng, Zhang, X., Wong, W.,, Journal of the American Statistical Association, 2003.
  • Optimal model assessment, selection and combination. Shen, Xiaotong, Huang, H. , Author, 2006.
  • Grouping pursuit through a regularization surface: Shen, Xiaotong, Huang, H.S., American Statistical Association, Journal of the American Statistical Association}, 105 727–739, 2010.

Professional Activities

  • Chair-Elect, the American Statistical Association’s Section on Statistical Learning and Data Mining: 2012
  • Program Co-Chair, Institute of Mathematical Statistics: 2009
  • Editorial board: Journal of Machine Learning Research, Journal of American Statistical Association, Annals of Statistics, Electric Journal of Statistics, Journal of Computational and Graphical Statistics, Statistics Survery , 2007 - present
  • Panel, the National Science Foundation: 2001 - present

Awards

  • John Black Johnston Distinguished Professorship, 2012
  • Scholar of the College, College of Liberal Arts, University of Minnesota, 2012
  • The Best Paper Award, the International Biometric Society, 2012
  • Fellow, American Association for the Advancement of Science, 2011
  • American Statistical Association fellow, 2006
  • Elected Member, International Statistical Institute, 2006
  • Institute of Mathematical Statistics fellow, 2004

Courses Taught

  • Statistical Learning and Data mining
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