Professor - Department of Statistics
Education: B.S. 1988, Nanjing University, China; M.S. 1995, Ph.D. 1996, Cornell University;
Employment: Assistant Professor 1996-2002; Associate Professor, 2002-2008; Professor, 2008-present; Director of Graduate Studies, 2002-2004, 2007 -2010, Dept. of Statistics, Northwestern University.
Academic activities: Guest Researcher, National Cancer Institute, NIH, Summer1999; Visiting Associate Professor, Cornell University, 2001-2002; Visiting Professor, Autumn 2003, High Level Foreign Specialist Visiting Professor, Autumn 2010, Foreign Core Visiting Professor for 111 Project, Autumn 2012, Taishan Scholar Overseas Distinguished Specialist Adjunct Professor, 2015-present, Shandong University, China; Associate Editor, 2007-2009, Annals of Statistics.
Fields of research: Biostatistics, Data Mining, Mathematical Statistics, Artificial Intelligence.
Recent research interests: data mining, Bayesian statistics, model selection, statistics with ambiguity
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Recent papers:
(43) Jiang, W. and Tanner, M. A. (2008). Gibbs posterior for variable
selection in high dimensional classification and data mining.
Annals of Statistics 36, 2207-2231.
(44) Wood, S. A., Kohn, R., Cottet, R., Jiang, W. and Tanner, M. A. (2008).
Locally adaptive nonparametric binary regression.
To appear in Journal of Computational and Graphical Statistics
(45) Jiang, W. (2009). On uniform deviations of general empirical risks
with unboundedness, dependence, and high dimensionality.
Journal of Machine Learning Research. 10, 977-996.
(46) Liao, Y. and Jiang, W. (2010). Bayesian analysis in moment inequality
models. Annals of Statistics 38, 275-316.
(47) Jiang, W. and Tanner, M. A. (2010). Risk minimization for time series
binary choice with variable selection. Econometric Theory 26, 1437-1452.
(48) Chen, K., Jiang, W. and Tanner, M. A. (2010). A note on some algorithms
for the Gibbs posterior. Statistics and Probability Letters, 80, 1234-1241.
(49) McCallum, K., Jiang, W. and Wang, J. (2010). An empirical Bayes approach
for methylation differentiation at the single nucleotide resolution.
International Journal of Mathematics and Computer Science 5(2).
(50) Yao, L., Jiang, W. and Tanner, M. A. (2011). Predicting panel data
binary choice with the Gibbs posterior. Neural Computation 23, 2683-2712.
(51) Liao, Y. and Jiang, W. (2011). Posterior consistency of nonparametric
conditional moment restricted models. Annals of Statistics 39, 3003-3031.
(52) Yao, L. and Jiang, W. (2012). On extensions of Hoeffding's inequality
for panel data. Statistics and Probability Letters, 82, 446-454.
(53) Mendes, E. F. and Jiang, W. (2012).
On convergence rates of mixtures of polynomial experts.
Neural computation 24, 3025-3051.
(54) Zhang, J., Jiang, W. and Shao, X. (2013). Bayesian model selection
based on parameter estimates from subsamples.
Statistics and Probability Letters 83, 979-986.
(55) Li, C., Jiang, W. and Tanner, M. A. (2013). General oracle inequalities for Gibbs posterior with application to ranking. Jounal of Machine Learning Research: Workshop and Conference Proceedings 30 (COLT 2013) : 512–521.
(56) Li, C., Jiang, W. and Tanner, M. A. (2014). General inequalities for Gibbs posterior with nonadditive empirical risk. Econometric Theory, volume 30, issue 06, pp. 1247-1271.
(57) Jiang, W. (2014).
Some Simple Formulas for Posterior Convergence Rates.International Scholarly Research Notices, vol. 2014, Article ID 469340, 8 pages, 2014. doi:10.1155/2014/469340. (Based on an invited submission.) HYPERLINK
(58) Jiang, W. and Zhao, Y. (2014).
Some technical details on confidence intervals for LIFT measures in data mining. (Supplementary material for "On Asymptotic Distributions and Confidence Intervals for LIFT Measures in Data Mining" published in Journal of the American Statistical Association (2015) 110, 1717-1725.)Technical Report 14-02, Department of Statistics, Northwestern University. PDF
(59) Li, C. and Jiang, W. (2016). On oracle property and asymptotic validity of Bayesian generalized method of moments based on moment conditions. Journal of Multivariate Analysis 145, 132–147.
(60) Gao, Y., Jiang, W. and Tanner, M. (2016). Generalized Gini correlation and its application in data-mining. Data Mining and Knowledge Discovery. (To appear.)