J. T. Gene Hwang

        Selected  Published  Papers:

        1. Improving upon standard estimates in discrete exponential families
            with applications to Poisson and negative binomial cases
            Annals of Statistics, 10, 857-867 (1982).

        2. Minimax confidence sets for the mean of a multivariate normal distribution
            (with George Casella).  Annals of Statistics,10, 868-881 (1982).

        3. A unified admissibility proof    
            (Invited paper with Lawrence D. Brown, presented at 3rd Purdue Symposium)   Statistical Decision
            Theory and Related Topics, III.  S. S. Gupta and J. O. Berger (eds.) Academic Press, New York,1,
            205-230 (1982).

        4. Semi-tail upper bounds on the class of admissible estimators in discrete exponential families
            with applications to Poisson and negative binomial families
            Annals of Statistics, 10,1137-1147 (1982).

        5. Limit expressions for the risk of James-Stein estimators
            (with George Casella).   Canadian Journal of Statistics, 10,No.4, 305-309 (1982).

        6. Construction of improved estimators in multiparameter estimation for discrete exponential
            families (with Malay Ghosh and Kam-Wah Tsui). Annals of Statistics, 11, No.2, 351-367 (1983).
            Discussions by James O. Berger, H. M. Hudson and Carl Morris.   Reply (with Ghosh and Tsui)
            in the same issue, 375-376.

        7. Empirical Bayes confidence sets for the mean of a multivariate normal distribution
            (with George Casella).  Journal of American Statistical Association, 78 , No.383, 688-698 (1983).

        8. Improved set estimators for a multivariate normal mean
            (with George Casella).  Statistics and Decisions,1, 3-16 (1984).

        9. The data smoothing aspect of Stein estimates
            (with Ker-Chau Li).  Annals of Statistics, 12, 887-897 (1984).

        10. Universal domination and stochastic domination - Decision theory simultaneously
              under a broad class of loss functions
            Annals of Statistics, 13, 295-314 (1985).

        11.Stochastic and universal domination
            Encyclopedia of Statistical Sciences, edited by S. Kotz and N. L. Johnson,8, 781-784.

        12. Multiplicative errors-in-variables linear models with applications to the recent data
              released by U.S. Department of Energy
            JASA,81, 680-688 (1986).

        13. The nonexistence of 100(1-a)% confidence sets of finite expected diameter
              in errors-in-variables and related models
            (with Leon Gleser). Annals of Statistics, 15 , 1351-1362 (1987).

         14. Universal  domination and stochastic domination,
              U-admissibility and U-inadmissibility of the least squares estimator
            (with L. D. Brown). Annals of Statistics,17, 252-267 (1989).

        15. Sequential confidence regions in inverse regression problems,
              errors-in-variables and other related models
            (with H. K. Liu).  Annals of Statistics,18, 3, 1389-1399 (1990).

        16. The estimated confidence approach under the validity constraintcriterion
            (with L. D. Brown).  Annals of Statistics,19, 1964-1977 (1991).

        17. Estimation of accuracy in testing
            (with G. Casella, C. Robert, M. Wells and R. Farrell).   Annals of Statistics, 20, 490-509 (1992).

        18. Is Pitman closeness a reasonable criterion? 
            (with Chris Robert and  W. E. Strawderman). 
            Journal of the American Statistical Association,88 , 57-62 (1993). 
            5 discussions by statisticians including G. Casella, C. R. Rao, and C. Blyth.  Authors' reply 74-76.

         19. Confidence sets centered at James-Stein estimators - A surprise concerning
             the unknown variance case
            (with Aman Ullah).  1993. Journal of Econometrics, 60, 145-156 (1994).

        20. How to approximate a histogram by a normal density
            (with L. D. Brown). American Statistician, 47, 4, 251-255 (1993).

        21. Confidence interval estimation subject to order restrictions
            (with S. D. Peddada).  Annals of Statistics, 22, 1, 67-93 (1994).

        22. Confidence intervals associated with tests for bio-equivalence
            (with J. Hsu, H. K. Liu and S. J. Ruberg).   Biometrika,81, 1, 103-114 (1994).

        24. Optimal confidence sets, Bioequivalence and the Limacon of Pascal
            (with L. D. Brown and G. Casella).  JASA, 90, 880-889 (1995).

        25. Maximum likelihood estimation under order restricted parameters
             by the prior feedback method
            (with C. Robert). JASA , 91, 167-172(1996).

        26. An unbiased test for the bioequivalence problem
            (with L. D. Brown and Axel Munk). Annals of Statistics , 25, 2345-2367 (1997).

        27. Prediction intervals in artificial neural network
            (with Aidong Ding). JASA,92, 748-757 (1997).

        28. Validity of (TIER)
            (with Weizhen Wang).  Biometrika, 84, 893-900 (1997).

        29. Statistical tests for multivariate bioequivalence
            (with W. Wang, A. DasGupta). Biometrika, 86 , 395-402 (1999).

        30. Prediction intervals, factor analysis models, and high-dimensional empirical
             linear prediction (HELP)
            (with Adam Ding). JASA, 94, 446-455(1999).

        31. Model Evaluation by Comparison of Model-Based Predictions and Measured Values.
            (with Hugh Gauch and Gary Fick). Agronomy Journal, 95, 1442-1446 (2003).
            Reply to Kobayashi in Agronomy Journal 96, 1207-1208 (2004) .

        Written Discussions:

        1. Discussion of "Developments in decision-theoretic variance estimation"
            by J. Maatta and G. Casella.   Statistical Science,5, 110-111 (1990).

        2. Discussion of "On the problem of interaction in the analysis of variance"
            by Václav Fabian (with G. Casella).   JASA,86, 372-373 (1991).

        3. Discussions of "Bioequivalence trials"
            by Roger Berger and Jason L. Hsu. Statistical Science , 11, 313-315 (1996).

     Recent Research Papers related to Areas including Genomics:

        1. Principle components regression with data chosen components and related methods
            (with Dan Nettleton), Technometrics, 45, 70-79, (2003). Contains an example on QTL identification.(PDF) .

        2. Classification of pixels in a noisy grey scale image of polar ice
            (with Shyamai D. Peddada), IEEE Trans. on Geoscience and Remote Sens., 40, 1879-1884, (2002) (PDF) .

        3. Investigating the Probability of Sign Inconsistency in the Regression Coefficients of Markers Flanking QTL
            (with Dan Nettleton), Genetics, 160, 1679-1750, (2002 April) (PDF) .

        4. Genomics, prior probability, and statistical tests of multiple hypotheses
            (with K. Manly and D. Nettleton), Genome Research, (2004 June) 14(6): 997-1001. (PDF) .

        5. Multi-class tumor classification by discriminant partial least squares using microarray gene expression data and assessment of classification models
            (with Yongxi Tan, Leming Shi, Weida Tong, Charles Wang), Computational Biology and Chemistry, 28, 235-244 (2004) (PDF) .

        6. Minimax estimation with thresholding and its application to wavelet analysis
            (with Harrison H. Zhou), Annals of Statistics, 101-125 (2005). (PDF) .

        7. Estimating the number of true null hypotheses from a histogram of p-values
            (with Dan Nettleton, Rico Caldo and Roger Wise), Journal of Agricultural, Biological, and Environmental Statistics, vol.11, no.3, 337-356 (2006). (PDF) .

        8. Exploring the information in p-values for the analysis and planning of multiple test experiments
            (with David Ruppert and Dan Nettleton) Biometrics, 63(2), 483-495 (2007) (PDF) .

        9. Improved Statistical Tests for Differential Gene Expression by Shrinking Variance Components Estimates
            (with X. Cui, J. Qiu, N. J. Blades, and G. A. Churchill), Biostatistics, 6(1), 59-75, (2005) (PDF) .

        10.  Sharp simultaneous intervals for the means of selected populations with application to microarray data analysis
            (with Jing Qiu). Biometrics, 63(3), 767-776 (2007) (PDF) .

        11. Quick calculation for sample size while controlling false discovery rate with application to microarray analysis
            (with Peng Liu), Bioinformatics, 23:739 746(2007). Erratum, Bioinformatics, 24:149 (2008) (PDF) .

        12. Empirical Bayes confidence intervals shrinking both means and variances
            (with Jing Qiu and Zhigen Zhao), Journal of the Royal Statistical Society, Series B, 71(1):265–285, (2009) (PDF) .

        13. Shrinkage confidence procedures
            (with George Casella). To appear in Statistical Science.

        14. Optimal Tests Shrinking Both Means and Variances Applicable to Microarray Data Analysis,
            (with Peng Liu), Statistical Applications in Genetics and Molecular Biology: Vol. 9 : Iss. 1, Article 36, (2010) (PDF) .