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張俊妮
張俊妮

北京大學(xué)國家發(fā)展研究院副教授(長(cháng)聘),2002 年于美國哈佛大學(xué)取得統計學(xué)博士學(xué)位。曾擔任北京大學(xué)光華管理學(xué)院助理教授、副教授、北京大學(xué)商務(wù)智能研究中心副主任、北京大學(xué)光華管理學(xué)院責任與社會(huì )價(jià)值中心副主任。曾獲北京大學(xué)立項教材獎勵、北京大學(xué)優(yōu)秀班主任獎勵及北京大學(xué)教學(xué)優(yōu)秀獎。

  • 北大國發(fā)院統計學(xué)副教授(長(cháng)聘)
  • 貝葉斯人口統計學(xué)、因果推斷、數據與文本挖掘

英文論文:

[1] “The competence-loyalty tradeoff in China's political selection”, with Zhaoguang Wang and Yang Yao, Journal of Comparative Economics, Published Online.

[2] “A comparative study of design-based and analysis-based approaches to causal inference with observational data”, Biostatistics & Epidemiology, Published Online.

[3] “Bayesian text classification and summarization via a class-specified topic model”, with Feifei Wang, Yichao Li, Ke Deng and Jun S. Liu, Journal of Machine Learning Research, 2021, 22 (89), pp 1-48.

[3] “Bayesian disaggregated forecasts: Internal migration in Iceland,” with John Bryant, in Developments in Demographic Forecasting (The Springer Series on Demographic Methods and Population Analysis), edited by Stefano Mazzuco and Nico Keilman, pp 193-215. Springer, Cham, 2020.

[4] “Fully Bayesian benchmarking of small area estimation models”, with John Bryant, Journal of Official Statistics, 2020, 36 (1), pp 197-223.

[5] “Subgroup balancing propensity score”, with Jing Dong, Shuxi Zeng and Fan Li, Statistical Methods in Medical Research, 2020, 29 (3), pp 659-676.

[6] “Combining multiple imperfect data sources for small area estimation: A Bayesian model of provincial fertility rates in Cambodia”, with John Bryant, Statistical Theory and Related Fields, 2019, 3 (2), pp 178-185.

[7] "Bayesian small area demography", with John Bryant and Kirsten Nissen, Survey Methodology, 2019, 45 (1), pp 13-29.
[8] "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.
[9] "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.
[10] "Distillation of news flow into analysis of stock reactions", with Wolfgang K. H?rdle, Cathy Y. Chen and Elisabeth Bommes, Journal of Business and Economic Statistics, 2016, 34 (4), pp 547-563.
[11] "Comparative investigation of three Bayesian p values," Computational Statistics and Data Analysis, 2014, 79, pp 277–291.
[12] "The Bayesian additive classification tree applied to credit risk modeling”, with Wolfgang K. H?rdle, Computational Statistics and Data Analysis, 2010, 54 (5), pp 1197-1205.
[13] "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.
[14] "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.
[15] "Lookahead and piloting strategies for variable selection", with Ming Lin, Jun S. Liu and Rong Chen, Statistica Sinica, 2007, 17, pp 985-1003.
[16] "Independent particle filters", with Ming Lin, Qiansheng Cheng, and Rong Chen, Journal of the American Statistical Association, 2005, 100 (472), pp 1412-1421.
[17] "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.
[18] "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.
[19] "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.
[20] "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.
[21] "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.

中文論文:

[1]“基于社交網(wǎng)絡(luò )的組織非正式溝通實(shí)證研究”,與董晶、魏娜,《現代管理科學(xué)》,2018 (4),67-69。

[2]“統計模型在中文文本挖掘中的應用”,與王健,《數理統計與管理》,2017,36 (4),609-619。

[3]“引領(lǐng)管理思想的<哈佛商業(yè)評論>”,《中國管理會(huì )計》,2017年7月創(chuàng )刊號。

[4]“高校學(xué)生企業(yè)社會(huì )責任態(tài)度調查(2014)(上、下)”,與賈峰、楊東寧等,《世界環(huán)境》,2015,(2) 49-51及(3) 50-53。

[5]“不確定環(huán)境中我國企業(yè)高管信息掃描行為的實(shí)證研究”,與董小英、鄢凡、劉倩倩,《管理世界》,2008年06期。

[6]“直郵營(yíng)銷(xiāo)中統計數據挖掘的應用”,與趙永鵬、曹麗娜、邵亞楠,《數理統計與管理》,2007,26 (2),291-296。

[7]“產(chǎn)業(yè)聚集,所有制結構與外商投資企業(yè)的區位選擇”,與陳玉宇,《經(jīng)濟學(xué)季刊》,2006,5 (4),1091-1108。

[8]“品牌個(gè)性與消費者個(gè)性相關(guān)關(guān)系的實(shí)證研究”,與江明華、龐雋,《經(jīng)濟科學(xué)》,2005年第6期。