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Faculty

ZHANG Junni

Associate Professor of Statistics, National School of Development, Peking University
Email: zjn@nsd.pku.edu.cn
 
RESEARCH AREAS
Bayesian Demography, Causal Inference, Data and Text Mining

EDUCATION
Ph.D. in Statistics, Harvard University, 2002
B.S. in Computer Software, University of Science and Technology of China, 1998

POSITIONS
Associate Professor of Statistics, Guanghua School of Management, Peking University,
China, 2006.8 – 2019.8

Assistant Professor of Statistics, Guanghua School of Management, Peking University,
China, 2002.10 – 2006.7

Deputy Director, Center for Responsibility and Social Value, Guanghua School of Management,
Peking University, 2012.6 – 2019.8

Deputy Director, Business Intelligence Research Center, Peking University, 2005.4 – 2019.8

AWARDS
Peking University Approved Textbook, 2016.
Peking University Excellent Class Adviser (second prize), 2012.
Peking University Teaching Excellence Award, 2008-2009.

PUBLICATIONS

PAPERS IN ENGLISH
[1] "Bayesian small area demography", with John Bryant and Kirsten Nissen, Survey Methodology, 2018, 45 (1), pp 13-29.
[2] "A Topic Model for Co-occurring Normal Documents and Short Texts," with Yang Yang, Feifei Wang, Jin Xu, and Philip S. Yu, World Wide Web-Internet and Web Information Systems, 2018, 21 (2), pp 487-513.
[3] "Bayesian Forecasting of Demographic Rates for Small Areas: Emigration Rates by Age, Sex, and Region in New Zealand, 2014-2038", with John Bryant, Statistica Sinica, 2016, 26 (4), pp 1337-1363.
[4] "Distillation of News Flow into Analysis of Stock Reactions", with Wolfgang K. Härdle, Cathy Y. Chen and Elisabeth Bommes, Journal of Business and Economic Statistics, 2016, 34 (4), pp 547-563.
[5] "Comparative Investigation of Three Bayesian p Values," Computational Statistics and Data Analysis, 2014, 79, pp 277–291.
[6] "The Bayesian Additive Classification Tree applied to credit risk modeling”, with Wolfgang K. Härdle, Computational Statistics and Data Analysis, 2010, 54 (5), pp 1197-1205.
[7] "Likelihood-based analysis of causal effects of job-training programs using principal stratification", with Donald B. Rubin and Fabrizia Mealli, Journal of the American Statistical Association, 2009, 104 (485), pp 166-176.
[8] "Evaluating the Effects of Job Training Programs on Wages through Principal Stratification", with Donald B. Rubin and Fabrizia Mealli, Advances in Econometrics, 2008, 21, pp 117-145.
[9] "Lookahead and Piloting Strategies for Variable Selection", with Ming Lin, Jun S. Liu and Rong Chen, Statistica Sinica, 2007, 17, pp 985-1003.
[10] "Independent Particle Filters", with Ming Lin, Qiansheng Cheng, and Rong Chen, Journal of the American Statistical Association, 2005, 100 (472), pp 1412-1421.
[11] "Using the EM Algorithm to Estimate the Effects of Job Training Programs on Wages", with Donald B. Rubin and Fabrizia Mealli, Proceedings of the 55th
Session of the International Statistical Institute, 2005.
[12] "Causal Inference with Instrumental Variables," in Applied Bayesian Modeling and Causal Inference from Incomplete-data Perspectives: An Essential Journey with Donald Rubin’s Statistical Family, edited by Andrew Gelman and Xiaoli Meng, Wiley, 2003.
[13] "Estimation of causal effects via principal stratification when some outcomes are truncated by ‘death’", with Donald B. Rubin, Journal of Educational and Behavioral Statistics, 2003, 28, pp 353-368.
[14] "Bayesian clustering with variable and transformation selections (with discussion)", with Jun S. Liu, Michael J. Palumbo and Charles E. Lawrence, in Bayesian Statistics 7: Proceedings of the Seventh Valencia International Meeting Dedicated to Dennis V. Lindley, edited by José-Miguel Bernardo, Philip Dawid, Jim O. Berger and Mike West, Oxford University Press, 2003, pp 249-275.
[15] "A new sequential importance sampling method and its application to the 2D hydrophobic-hydrophilic model", with Jun S. Liu, Journal of Chemical Physics, 2002, 117, pp 3492—3498.

PAPERS IN CHINESE
[1] “An empirical study on organizational informal communication based on social network”, with Jing Dong and Na Wei, Modern Management Science, 2018 (4), pp 67-69.
[2] “Applications of statistical models in Chinese text mining”, with Jian Wang, Journal of Applied Statistics and Management, 2017, 36 (4), pp 609-619.
[3] “The Harvard Business Review that leads management thinking”, China Management Accounting Review, July 2017.
[4] “A survey on college students' attitudes towards corporate social responsibility (2014) (Part 1, Part 2)”, with Feng Jia, Dongning Yang, Peiyuan Guo, Zhenxu Zhu, Caixia Luan, Yuting Jin, Ying Chen, Yichong Xu, Wenbo Li, Rui Zhang and Hongfu Zhang, World Environment, 2015, Volumes 2 and 3.
[5] “An empirical study on information scanning behavior of Chinese corporate executives in uncertain environments”, with Xiaoying Dong, Fan Yan and Qianqian Liu, Management World, 2008 (6).
[6] “Statistical Data Mining Applications for Direct Mail Marketing”, Journal of Applied Statistics and Management, with Yongpeng Zhao, Lina Cao and Yanan Shao, 2007, 26 (2), pp 291-296.
[7] “Industrial agglomeration, ownership structure and location choice of foreign investment enterprises”, with Yuyu Chen, China Economic Quarterly, 2006, 5(4), pp 1091-1108.
[8] “An empirical study on the relationship between brand personality and consumer personality”, with Minghua Jiang and Jun Pang, Economic Science, 2005 (6).

BOOKS
[1] “Bayesian Demographic Estimation and Forecasting”, with John Bryant, CRC Press, 2018.
[2] Data Mining and Its Applications (in Chinese), 2nd edition. Peking University Press, 2018.
[3] Data Mining and Its Applications (in Chinese), 1st edition. Peking University Press, 2009.