Haiyan Wang

Assistant Professor
Department of Statistics
Kansas State University
Office Information
  • E-mail:  hwang@ksu.edu 
  • Room:  Dickens 108E
  • Phone:  (785) 532-0519
  • Fax:  (785) 532-7736
  • Office Hours:  M W F 9:30-10:30 am.
Courses Taught at K-State
  • Stat 490: Statistics for Engineering I (Spring 2007, Fall 2007)
  • Stat 510: Introductory Probability and Statistics I (Fall 2004)
  • Stat 702: Statistical Methods for the Social Sciences (Spring 2005, Spring 2006)
  • Stat 703: Statistical Methods for Natural Scientists (Fall 2009)
  • Stat 706: Basic Elements of Statistical Theory (Fall 2004, Fall 2005, Fall 2006)
  • Stat 726: Introduction to Splus/R computing (Spring 2009)
  • Stat 745: Statistical Graphics (Spring 2006(2nd half), Spring 2008)
  • Stat 770: Theory of Statistics (Fall 2006, Fall 2008)
  • Stat 902: Generalized Lineal Models (Spring 2005, Spring 2007, Spring 2009)
  • Stat 903: Spatial and Longitudinal Data Analysis (Fall 2005, Fall 2007, Fall 2009)
  • Stat 950: Data Mining (Spring 2006)
  • Stat 950: Special topics on hypothesis testing in high-dimensional data (Spring 2005)
Research Interests
  • Nonparametric design and analysis
  • Longitudinal and functional data analysis
  • High dimensional data analysis with applications in high-throughput data
  • Rank tests for experimental designs
Publications
  • Wang, H., Higgins, J., and Blasi, D., (2009). Distribution-Free Tests For No Effect of Treatment In Heteroscedastic Functional Data Under Both Weak And Long Range Dependence,   to appear in Statistics and Probability Letters.
  • Wang, H. and Akritas, M.G. (2009b). Inference from heteroscedastic functional data,   to appear in Journal of Nonparametric Statistics.
  • von Borries, G. and Wang, H. (2009). Partition clustering of high dimensional low sample size data based on p-values,   Computational Statistics and Data Analysis. Vol 53:3987-3998.
  • Wang, H. and Akritas, M.G. (2009a). Rank Tests in Heteroscedastic Multi-Way HANOVA,   Journal of Nonparametric Statistics. 21(6): 663-681.
  • Wang, H., Neill, J.W. and Miller, F.R. (2008). Nonparametric Clustering of Functional Data,   Statistics and Its Interface, Vol 1, 47-62.
  • Song, W., Wang, H. and Yao, W. (2009). On the Adaptive Robust Modal Local Polynomial Regression,  International Journal of Statistical Sciences. Vol 9: 217-231.
  • Chen M.S., Echegaray E., Whitworth, R.J., Wang H., Sloderbeck, P.E., Knutson, A., Giles K.L. and Royer T.A. (2009) Virulence analysis of Hessian fly (Mayetiola destructor) populations from Texas, Oklahoma, and Kansas.   Journal of Economic Entomology. 102(2): 774-780.
  • Zhang, S., Shukle, R., Mittapalli, O., Zhu, Y.C., Reese, J.C., Wang, H., Hua B., and Chen M. (2009), A gut transcriptome of the Hessian fly (Mayetiola destructor), a member of gall midges.   BMC Genomics. In press.
  • Chen, M.-S. Liu, X.,Wang, H., and El Bouhssini M. (2009). Hessian fly (Mayetiola destructor) interactions with barley, rice, and wheat seedlings,   Journal of Economic Entomology. 102(4), 1663-1672
  • Wang, H. and Akritas, M.G. (2004), Rank Tests for ANOVA with Large Number of Factor Levels.   Journal of Nonparametric Statistics, 16 (2004), no. 3-4, 563-589; CNO 2073042.
  • Shi, P.,Wang, H and Zheng, Z. (2001), Semiparametric model selection in large samples,   J. Syst. Sci. Complex. 14 (2001), no. 4, 378-387; MR 2002i:62099.
  • Shi P., Wang H., Zhang L. (2000), Asymptotic theory of nonparametric regression estimates with censored data,   Science In China, Vol.43 No.6 574-580.
  • Wang, H. (2006) Book review for "Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models Edited by Faraway J. J.,"   Biometrics, Vol 62, Number 4, December 2006, pp. 1278-1278(1)


Technical Reports
  • Wang, H. and Akritas, M.G. (2003). Analysis of Heteroscedastic Multifactor Designs
    with Large Number of Factor Levels, 03-06, Department of Statistics, The Pennsylvania State University.
  • Inference from Heteroscedastic Functional Data, 09-02, Department of Statistics, The Pennsylvania State University.
  • Asymptotically distribution free tests in heteroscedastic unbalanced high dimensional ANOVA, II-09-1, Department of Statistics, Kansas State University.
Links
  
Updated Friday, Oct 30, 2009.