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热烈欢迎北京大学光华管理学院王汉生教授于5月17日10点接受人大经济论坛的在线访谈活动。
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关键词：搜索引擎营销 在线访谈 北大光华 搜索引擎 数据分析 北大光华 搜索引擎 在线 数据分析专题 数据处理 数据分析软件 数据分析报告 面板数据分析 excel数据分析 数据分析方法 项目数据分析

王汉生教授现任北京大学光华管理学院商务统计与经济计量系副系主任。
1998年北京大学数学科学学院，概率统计系，统计学本科，2001年美国威斯康星大学麦迪逊分校，统计学博士。

现为国际统计研究员(International Statistical Institute)，美国统计学会(American Statistical Association)，美国数理统计研究员(Institute of Mathematical Statistics)，英国皇家统计协会(Royal Statistical Society)，以及泛华统计学会(International Chinese Statistical Association)会员。

他发表英文学术论文五十余篇，中文论文近二十篇。合著英文专著1本，独立完成中文教材2本。

先后担任多个学术刊物副主编(Associate Editor)。
这些刊物包括：The Annals of Statistics (2008—2009)，Computational Statistics & Data Analysis (2008—2011),Statistics and its Interface (2010至今)，Journal of the American Statistical Association (2011至今), 以及Statistica Sinica (2011至今)。

现主要理论研究兴趣为：高维数据分析、变量选择、数据降维、极值理论、以及半参数模型。
主要应用研究兴趣为：搜索引擎营销、社会关系网络。

教育背景

2001		威斯康辛大学		统计学		博士
1998		北京大学		统计学		学士

职业经历
2010~至今
光华管理学院商务统计与经济计量系 教授
2005~2010
光华管理学院商务统计与经济计量系 副教授
2003~2005
光华管理学院商务统计与经济计量系 助理教授
2002~2003
美国Forest Research Institute 统计师
2001~2002
美国StatPlus, Inc 统计师

Honor and Awards:

• (2006) Elected Member of International Statistical Institute
• (2008) Bank of Beijing Teaching Award, Peking University
• (2009) LI Yining Outstanding Research Award, Guanghua School of Management, Peking University
• (2009) The Outstanding Research Award, The 1st Price, Ministry of Education of the People's Republic of China
• (2012) Founder Teaching Award, Peking University
  

Published Books:

• Sample size calculation in clinical research:
• My Book: Sample Size Calculation for Clinical Research
• Book Reviews: JSCS JRSS-A STAT-MED JBS BIOMETRICS
• Applied Business Statistical Analysis
• Business Data Analysis and its Applications
  
  

Selected Publications
2013

• Lan, W., Wang, H., Chih-Ling Tsai. (2013) Testing Covariates in High Dimensional Regression, Annals of Institute of Statistical Mathematics, To appear.
• Jiang, Q., Wang, H., Xia, Y., and Jiang, G. (2013) On a principal varying coefficient model, Journal of the American Statistical Association, To appear.
• An, B., Wang, H., Guo, J. (2013) Testing the statistical significance of an ultra-high dimensional naive Bayes classifier, Statistics and Its Interface, To appear.
• An, B., Wang, H., Guo, J. (2013) Multivariate Regression Shrinkage and Selection by Canonical Correlation Analysis, Computational Statistics and Data Analysis, To appear.
  

2012

• Wang, H. (2012) Factor profiled sure independence screening, Biometrika,99, 15--28.
• Lan, W., Wang, H., and Chih-Ling Tsai (2012) A Bayesian Information Criterion for Portfolio Selection. Computational Statistics & Data Analysis, 56(1), 88-99.
• Liang, H., Wang, H., and Chih-Ling Tsai (2012) Profiled forward regression for ultrahigh dimensional variable screening in semiparametric partially linear models, Statistica Sinica, 22, 531-554.
  

2011

• Zhang, Q. and Wang, H. (2011) On BIC's Selection Consistency for Discriminant Analysis, Statistica Sinica, 21, 731--740.
• Pan, R., Wang, H., and Chih-Ling Tsai (2011)Regression analysis of asymmetric pairs in large-scale network data. Communications in Statistics, 40(10), 1540--1547.
  

2010

• Ji, Li., Pan, Rui., and Wang, H. (2010) Selection of best keywords: A Poisson regression model. Journal of Interactive Advertising., 11(1), 27--35.
• Yin, J., Geng, Z., Li, R., and Wang, H. (2010) Nonparametric covariance model, Statistica Sinica . 20, 469--479.
• Tsai, C. L., Wang, H., and Zhu, N. (2010) Does a Bayesian approach generate robust forecasts? evidence from applications in portfolio investment decisions, Annals of the Institute of Statistical Mathematics, 62, 109--116.
• Guan, Y. and Wang, H. (2010) Sufficient dimension reduction for spatial point processes directed by Gaussian random fields, Journal of Royal Statistical Society, Series B, 72, 367--387.
• Zhang, H. H., Lu, W., and Wang, H. (2010) On sparse estimation for semiparametric linear transformation models, Journal of Multivariate Analysis, 101, 1594--1606.
  

2009

• Wang, H. (2009) Forward regression for ultra-high dimensional variable screeningJournal of the American Statistical Association. 104, 1512--1524.
• Wang, H., Li, B., and Leng, C. (2009) Shrinkage tuning parameter selection with a diverging number of parameters, Journal of Royal Statistical Society, Series B , 71, 671--683.
• Leng, C.and Wang, H. (2009). On general adaptive sparse principal component analysisJournal of Computational and Graphical Statistics, 18, 201-215.
• Wang, H. (2009) Rank reducible varying coefficient model, Journal of Statistical Planning and Inference . 139, 999-1011.
• Su, X., Tsai, C. L., Wang, H., Nickerson, D. M., and Li, B. (2009). Subgroup analysis via recursive partitioning Journal of Machine Learning Research, 10, 141-158.
• Wang, H. and Xia, Y. (2009) Shrinkage estimation of the varying coefficient model Journal of the American Statistical Association, 104, 747--757.
• Wang, H. and Tsai, C. L. (2009) Tail index regressionJournal of the American Statistical Association, 104, 1233--1240.
• Luo, R., Wang, H., and Tsai, C. L. (2009) Contour projected dimension reduction, The Annals of Statistics, 37, 3743--3778.
• Wang, H. and Tsai, C. L. (2009) A discussion on "model selection for generalized linear models with factor-augmented predictors" Applied Stochastic Models for Business and Industry. 25, 241--242.
  

2008

• Huang, D., Wang, H., and Yao, Q. (2008) Estimating GARCH models: when to use what?. Econometrics Journal, 11, 1-12.
• Shao, J. and Wang, H. (2008) Confidence intervals based on survey data with nearest neighbor imputation. Statistica Sinica, 18, 281-297.
• Wang, H., Ni, L., and Tsai, C. L. (2008). Improving dimension reduction via contour-projection. Statistica Sinica, 18, 299-311.
• Wang, H. and Xia, Y. (2008). Sliced regression for dimension reduction (Technical Appendix) Journal of the American Statistical Association, 103, 811-821.
• Luo, R., Wang, H., and Tsai, C. L. (2008). On mixture regression shrinkage and selection via the Mr. Lasso International Journal of Pure and Applied Mathematics, 46,403-414.
• Wang, H. and Leng, C. (2008) A note on adaptive group lasso. Computational Statistics & Data Analysis, 52, 5277-5286.
• Jiang, G. and Wang, H. (2008) Should earnings thresholds be used as delisting criteria in stock market? Journal of Accounting and Public Policy. 27, 409-419.
• Luo, R. and Wang, H. (2008) A composite logistic regression approach for ordinal panel data regression. International Journal of Data Analysis Techniques and Strategies . 1, 29-43.
• Leng, C. and Wang, H. (2008) Tuning parameter selection consistency in an ultrahigh dimensional setup: a comment on the sure independence screening rule, Journal of Royal Statistical Society, Series B . 70,896-897.
  

2007

• Wang, H., and Leng, C. (2007) Unified lasso estimation via least square approximation. Journal of American Statistical Association, 102, 1039-1048. (The R Code)
• Wang, H., Li, R., and Tsai, C. L (2007). Tuning parameter selectors for the smoothly clipped absolute deviation method. Biometrika, 94, 553-568.
• Wang, H., Li, G., and Tsai, C. L. (2007). Regression coefficients and autoregressive order shrinkage and selection via the lasso. Journal of Royal Statistical Society, Series B. 69, 63-78. (The Proof of Theorem 4).
• Wang, H. (2007). A note on iterative marginal optimization: a simple algorithm for maximum rank correlation estimation. Computational Statistics and Data Analysis. 51, 2803-2812. (The Matlab Code)
• Wang, H., Li, G., and Jiang, G. (2007). Robust regression shrinkage and consistent variable selection via the LAD-LASSO. Journal of Business & Economics Statistics. 25,347-355.
  

• Wang, H. and Chow, S. C. (2007). Sample size calculation for comparing means.Encyclopedia of Clinical Trials, Wiley. DOI: 10.1002/9780471462422.eoct006
• Wang, H. and Chow, S. C. (2007). Sample size calculation for comparing proportions.Encyclopedia of Clinical Trials, Wiley. DOI: 10.1002/9780471462422.eoct005
• Wang, H. and Chow, S. C. (2007). Sample size calculation for comparing variabilities. Encyclopedia of Clinical Trials, Wiley. DOI: 10.1002/9780471462422.eoct008
• Wang, H. and Chow, S. C. (2007). Sample size calculation for comparing time-to-event. Encyclopedia of Clinical Trials, Wiley DOI: 10.1002/9780471462422.eoct007
  

2005

• Wang, H., Chow, S. C. and Chen, M. (2005).A Bayesian approach on sample size calculation for comparing means.Journal of Biopharmaceutical Statistics, No. 15, 799-807.
  

2003

• Chow, S.C., Shao, J., and Wang, H. (2003). In vitro bioequivalence testing. Statistics in Medicine, 22, 55-68.
• Chow, S.C., Shao, J., and Wang, H. (2003). Statistical tests for population bioequivalence. Statistica Sinica, 13, 539-554.
• Wang, H. and Shao, J. (2003) Two-way contingency tables under conditional hot deck imputation. Statistica Sinica, 13, 613-623.
• Wang, H., Cheng, B., and Chow, S.C. (2003). Sample size determination based on rank tests in clinical research. Journal of Biopharmaceutical Statistics, 13, 735-751.
  

• Chow, S.C., Shao, J., and Wang, H. (2003) Sample Size Calculations in Clinical Research. Chapman & Hall/CRC, New York, NJ. ISBN: 0824709705
• Wang, H. and Chow, S.C. (2003). Imputation with item nonrespondents. Encyclopedia of Biopharmaceutical Statistics. 2nd Edition. Ed. Chow, S.C., Marcel Dekker, Inc., New York. 443-448.
• Wang, H., Zhang, Y., Shao, J., and Chow, S.C. (2003). In vitro bioequivalence testing. Encyclopedia of Biopharmaceutical Statistics. 2nd Edition. Ed. Chow, S.C., Marcel Dekker, Inc. New York. 449-455.
• Wang, H. (2003). Imputation in clinical research. Encyclopedia of Biopharmaceutical Statistics. 2nd Edition. Ed. Chow, S.C., Marcel Dekker, Inc. New York, New York. 437-442.
• Lee, Y., Wang, H., and Chow, S.C. (2003).Comparing variabilities in clinical research. Encyclopedia of Biopharmaceutical Statistics. 2nd Edition. Ed. Chow, S.C., Marcel Dekker, Inc. New York. 214-230.
  

2002

• Shao, J. and Wang, H. (2002). Sample correlation coefficients based on survey data under regression imputation. Journal of American Statistical Association, 97,544-552.
• Wang, H. and Chow, S.C. (2002). A practical approaches for parallel trials without equal variance assumption. Statistics in Medicine, 21,3137-3151.
• Chow, S.C., Shao, J., and Wang, H. (2002). Individual bioequivalence testing under 2x3 designs. Statistics in Medicine, 21,629-648.
• Chow, S.C., Shao, J., and Wang, H. (2002). Probability lower bound for USP/NF test. Journal of Biopharmaceutical Statistics, 12, 79-92.
• Chow, S.C., Shao, J., and Wang, H. (2002). A note on sample size calculation for mean comparisons based on non-central t-statistics. Journal of Biopharmaceutical Statistics, 12, 441-456.
• Wang, H. and Chow, S.C. (2002). On statistical power for average bioequivalence testing under replicated crossover design. Journal of Biopharmaceutical Statistics. 12, 295-309.
• Wang, H., Chow, S.C., and Li, G. (2002). On sample size calculation based on odds ratio in clinical trials. Journal of Biopharmaceutical Statistics, 12, 471-483.
• Lee, Y., Shao, J., Chow, S.C., and Wang, H. (2002). Test for inter-subject and total variabilities under crossover design. Journal of Biopharmaceutical Statistics. 12, 503-534
  

2001

• Chow, S.C. and Wang, H. (2001). On Sample Size Calculation in Bioequivalence Trials. Journal of Pharmacokinetics and Pharmacodynamics, 28, 155-169.
• Wang, H. (2001). Two-way contingency tables with conditionally and marginally imputed data. Ph.D. thesis, University of Wisconsin-Madison.
  

王教授您好，能不能解释一下到底什么是dimension curse?对于线性回归来说，要注意这个问题吗？

资料狂人 发表于 2013-5-9 09:21
Honor and Awards:

(2006) Elected Member of International Statistical Institute

王老师，您好，读过您写的论文《超级市场零售商品的购物篮分析》，您用高维0-1变量聚类方法对超市的购物篮进行了分析，那这种方法能对CSA（社区支持农业）所销售的农品做聚类分析么？具体要考虑哪些因素啊？