Professor Kam-Wah Tsui
Select Publications:
[1] | H. Malcolm Hudson and Kam-Wah Tsui. Simultaneous poisson estimators for a priori hypotheses about means. Journal of The American Statistical Association, 76:182-187, 03 1981. [ bib | DOI ] |
[2] | Malay Ghosh, Jiunn Tzon Hwang, and Kam-Wah Tsui. Construction of improved estimators in multiparameter estimation for discrete exponential families. The Annals of Statistics, 11:351-367, 06 1983. [ bib | DOI ] |
[3] | Kam-Wah Tsui, Ella Mae Matsumura, and Kwok-Leung Tsui. Multinomial-dirichlet bounds for dollar-unit sampling in auditing. Accounting Review, pages 76-96, 1985. [ bib ] |
[4] | Kam-Wah Tsui. Further developments on the robustness of clevenson—zidek-type means estimators. Journal of the American Statistical Association, 81(393):176-180, 1986. [ bib ] |
[5] | Kam-Wah Tsui and Samaradasa Weerahandi. Generalized p-values in significance testing of hypotheses in the presence of nuisance parameters. Journal of the American Statistical Association, 84(406):602-607, 1989. [ bib | pdf ] |
[6] | Tom Leonard, John S. J. Hsu, and Kam-Wah Tsui. Bayesian marginal inference. Journal of The American Statistical Association, 84:1051-1058, 12 1989. [ bib | DOI ] |
[7] | John S. J. Hsu, Tom Leonard, and Kam-Wah Tsui. Statistical inference for multiple choice tests. Psychometrika, 56:327-348, 6 1991. [ bib | DOI ] |
[8] | Tom Y. M. Chiu, Tom Leonard, and Kam-Wah Tsui. The matrix-logarithmic covariance model. Journal of The American Statistical Association, 91:198-210, 03 1996. [ bib | DOI ] |
[9] | M.A. Newton, C.M. Kendziorski, C.S. Richmond, F.R. Blattner, and K.W. Tsui. on differential variability of expression ratios: Improving statistical inference about gene expression changes from microarray data. Journal of Computational Biology, 8:37-52, 02 2001. [ bib | DOI ] |
[10] | Yuan Ji, Kam-Wah Tsui, and KyungMann Kim. A two-stage empirical bayes method for identifying differentially expressed genes. Computational Statistics & Data Analysis, 50:3592-3604, 8 2006. [ bib | DOI ] |
[11] | S. Fan, S. Chenney, B. Hu, K. Tsui, and Y.-C. Lai. Optimizing control variate estimators for rendering. In Eurographics Association, editor, Computer Graphics Forum, volume 25, pages 351-358, 2006. [ bib ] |
[12] | Kam-Wah Tsui and Shijie Tang. Simultaneous testing of multiple hypotheses using generalized p-values. Statistics & Probability Letters, 77:1362-1370, 7 2007. [ bib | DOI ] |
[13] | Shijie Tang and Kam-Wah Tsui. Distributional properties for the generalized p-value for the behrens–fisher problem. Statistics & Probability Letters, 77:1-8, 1 2007. [ bib | DOI ] |
[14] | Bo Hu, Yuan Ji, and Kam-Wah Tsui. Bayesian estimation of inverse dose response. Biometrics, 64:1223-1230, 12 2008. [ bib | DOI ] |
[15] | Kjell Doksum, Shijie Tang, and Kam-Wah Tsui. Nonparametric variable selection: The earth algorithm. Journal of The American Statistical Association, 103:1609-1620, 12 2008. [ bib | DOI | pdf ] |
[16] | Bo Hu and Kam-Wah Tsui. Distributed evolutionary monte carlo for bayesian computing. Computational Statistics & Data Analysis, 54:688-697, 3 2010. [ bib | DOI ] |
[17] | Seungbong Han, Adin-Cristian Andrei, and Kam-Wah Tsui. A robust method for large-scale multiple hypotheses testing. Biometrical Journal, 52(2):222-232, 2010. [ bib | pdf ] |
[18] | Yuan Ji, Yanxun Xu, Qiong Zhang, Kam-Wah Tsui, Yuan Yuan, Clift Norris Jr., Shoudan Liang, and Han Liang. bm-map: Bayesian mapping of multireads for next-generation sequencing data. Biometrics, 67:1215-1224, 12 2011. [ bib | DOI | pdf ] |
[19] | S. Han, A.-C. Andrei, and K.-W. Tsui. A flexible semiparametric modeling approach for doubly censored data with an application to prostate cancer. Statistical Methods in Medical Research, 07 2013. [ bib | DOI ] |
[20] | Xinwei Deng and Kam-Wah Tsui. Penalized covariance matrix estimation using a matrix-logarithm transformation. Journal of Computational And Graphical Statistics, 22:494-512, 04 2013. [ bib | DOI ] |
[21] | Shijie Tang, Lisha Chen, Kam-Wah Tsui, and Kjell Doksum. Nonparametric variable selection and classification: The catch algorithm. Computational Statistics & Data Analysis, 72:158-175, 04 2014. [ bib | DOI | pdf ] |