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Wei Gao

Personal Details

First Name:Wei
Middle Name:
Last Name:Gao
Suffix:
RePEc Short-ID:pga693
[This author has chosen not to make the email address public]

Affiliation

School of Economics
Northeast Normal University

Changchun, China
http://economic.nenu.edu.cn/
RePEc:edi:senencn (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Han, Jinyue & Wang, Jun & Gao, Wei & Tang, Man-Lai, 2023. "Estimation of the directions for unknown parameters in semiparametric models," MPRA Paper 116365, University Library of Munich, Germany.
  2. Jiangtao Duan & Wei Gao & Hao Qu & Hon Keung Tony, 2019. "Subspace Clustering for Panel Data with Interactive Effects," Papers 1909.09928, arXiv.org, revised Feb 2021.
  3. Gao, Wei & Bergsma, Wicher & Yao, Qiwei, 2017. "Estimation for dynamic and static panel probit models with large individual effects," LSE Research Online Documents on Economics 65165, London School of Economics and Political Science, LSE Library.
  4. Gao, Wei & Yao, Qiwei & Bergsman, Wicher, 2013. "A Proposed Estimator for Dynamic Probit Models," MPRA Paper 48336, University Library of Munich, Germany.

Articles

  1. Hongyue Zhu & Hong Jiao & Wei Gao & Xiangbin Meng, 2023. "Bayesian Change-Point Analysis Approach to Detecting Aberrant Test-Taking Behavior Using Response Times," Journal of Educational and Behavioral Statistics, , vol. 48(4), pages 490-520, August.
  2. Zhang, Wei & Gao, Wei & Ng, Hon Keung Tony, 2023. "Multivariate tests of independence based on a new class of measures of independence in Reproducing Kernel Hilbert Space," Journal of Multivariate Analysis, Elsevier, vol. 195(C).
  3. Youcheng Qian & Xueyan Yin & Jun Kong & Jianzhong Wang & Wei Gao, 2019. "Low-rank graph optimization for multi-view dimensionality reduction," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-25, December.
  4. Niu, Zhenzhen & Hu, Jiang & Bai, Zhidong & Gao, Wei, 2019. "On LR simultaneous test of high-dimensional mean vector and covariance matrix under non-normality," Statistics & Probability Letters, Elsevier, vol. 145(C), pages 338-344.
  5. Jun Wang & Wei Gao & Man‐Lai Tang, 2019. "Estimation of treatment effects for heterogeneous matched‐pairs data with probit models," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 46(2), pages 575-594, June.
  6. Ziqi Chen & Man†Lai Tang & Wei Gao, 2018. "A profile likelihood approach for longitudinal data analysis," Biometrics, The International Biometric Society, vol. 74(1), pages 220-228, March.
  7. Gang Yu & Wei Gao & Weiguo Wang & Shaoping Wang, 2018. "Estimating Dynamic Binary Panel Data Model with Random Effects: A Computational Note," Computational Economics, Springer;Society for Computational Economics, vol. 51(3), pages 535-539, March.
  8. Tata Subba Rao & Granville Tunnicliffe Wilson & Wei Gao & Wicher Bergsma & Qiwei Yao, 2017. "Estimation for Dynamic and Static Panel Probit Models with Large Individual Effects," Journal of Time Series Analysis, Wiley Blackwell, vol. 38(2), pages 266-284, March.
  9. Ziqi Chen & Man-Lai Tang & Wei Gao & Ning-Zhong Shi, 2014. "New Robust Variable Selection Methods for Linear Regression Models," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 41(3), pages 725-741, September.
  10. Yin, Zanhua & Gao, Wei & Tang, Man-Lai & Tian, Guo-Liang, 2013. "Estimation of nonparametric regression models with a mixture of Berkson and classical errors," Statistics & Probability Letters, Elsevier, vol. 83(4), pages 1151-1162.
  11. Lianyan Fu & Wei Gao & Ning‐Zhong Shi, 2012. "Estimating cell frequencies under inequality constraints based on the Kullback–Leibler information," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 66(2), pages 203-216, May.
  12. Chen, Ziqi & Shi, Ning-Zhong & Gao, Wei & Tang, Man-Lai, 2011. "Efficient semiparametric estimation via Cholesky decomposition for longitudinal data," Computational Statistics & Data Analysis, Elsevier, vol. 55(12), pages 3344-3354, December.
  13. Fu, Lianyan & Gao, Wei & Shi, Ning-Zhong, 2011. "Estimation of relative average treatment effects with misclassification," Economics Letters, Elsevier, vol. 111(1), pages 95-98, April.
  14. Chen, Ziqi & Shi, Ning-Zhong & Gao, Wei, 2011. "Nonparametric estimation of the log odds ratio for sparse data by kernel smoothing," Statistics & Probability Letters, Elsevier, vol. 81(12), pages 1802-1807.
  15. Gao, Wei & Shi, Ning-Zhong & Tang, Man-Lai & Fu, Lianyan & Tian, Guoliang, 2010. "Unified generalized iterative scaling and its applications," Computational Statistics & Data Analysis, Elsevier, vol. 54(4), pages 1066-1078, April.
  16. Yuling Li & Wei Gao & Ning-Zhong Shi, 2007. "A note on multinomial maximum likelihood estimation under ordered restrictions and the EM algorithm," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 66(1), pages 105-114, July.
  17. Gao, Wei & Kuriki, Satoshi, 2006. "Testing marginal homogeneity against stochastically ordered marginals for rxr contingency tables," Journal of Multivariate Analysis, Elsevier, vol. 97(6), pages 1330-1341, July.
  18. Gao, Wei & Shi, Ning-Zhong, 2005. "Estimating cell probabilities under order-restricted odds ratios," Computational Statistics & Data Analysis, Elsevier, vol. 49(1), pages 77-84, April.
  19. Wei Gao & Ning-Zhong Shi, 2003. "I-projection onto isotonic cones and its applications to maximum likelihood estimation for log-linear models," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 55(2), pages 251-263, June.
  20. Tao, Jian & Shi, Ning-Zhong & Guo, Jianhua & Gao, Wei, 2002. "Stepwise procedures for the identification of minimum effective dose with unknown variances," Statistics & Probability Letters, Elsevier, vol. 57(2), pages 121-131, April.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

    Sorry, no citations of working papers recorded.

Articles

  1. Ziqi Chen & Man†Lai Tang & Wei Gao, 2018. "A profile likelihood approach for longitudinal data analysis," Biometrics, The International Biometric Society, vol. 74(1), pages 220-228, March.

    Cited by:

    1. Yayuan Zhu & Ziqi Chen & Jerald F. Lawless, 2022. "Semiparametric analysis of interval‐censored failure time data with outcome‐dependent observation schemes," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 49(1), pages 236-264, March.

  2. Ziqi Chen & Man-Lai Tang & Wei Gao & Ning-Zhong Shi, 2014. "New Robust Variable Selection Methods for Linear Regression Models," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 41(3), pages 725-741, September.

    Cited by:

    1. Umberto Amato & Anestis Antoniadis & Italia De Feis & Irene Gijbels, 2021. "Penalised robust estimators for sparse and high-dimensional linear models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(1), pages 1-48, March.
    2. Florian Frommlet & Grégory Nuel, 2016. "An Adaptive Ridge Procedure for L0 Regularization," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-23, February.
    3. Ziqi Chen & Jing Ning & Yu Shen & Jing Qin, 2021. "Combining primary cohort data with external aggregate information without assuming comparability," Biometrics, The International Biometric Society, vol. 77(3), pages 1024-1036, September.
    4. Ziqi Chen & Man†Lai Tang & Wei Gao, 2018. "A profile likelihood approach for longitudinal data analysis," Biometrics, The International Biometric Society, vol. 74(1), pages 220-228, March.

  3. Chen, Ziqi & Shi, Ning-Zhong & Gao, Wei, 2011. "Nonparametric estimation of the log odds ratio for sparse data by kernel smoothing," Statistics & Probability Letters, Elsevier, vol. 81(12), pages 1802-1807.

    Cited by:

    1. Sung Jae Jun & Sokbae Lee, 2022. "Average Adjusted Association: Efficient Estimation with High Dimensional Confounders," Papers 2205.14048, arXiv.org, revised Apr 2023.

  4. Gao, Wei & Shi, Ning-Zhong & Tang, Man-Lai & Fu, Lianyan & Tian, Guoliang, 2010. "Unified generalized iterative scaling and its applications," Computational Statistics & Data Analysis, Elsevier, vol. 54(4), pages 1066-1078, April.

    Cited by:

    1. Xu, Ping-Feng & Sun, Jubo & Shan, Na, 2016. "Local computations of the iterative proportional scaling procedure for hierarchical models," Computational Statistics & Data Analysis, Elsevier, vol. 95(C), pages 17-23.

  5. Wei Gao & Ning-Zhong Shi, 2003. "I-projection onto isotonic cones and its applications to maximum likelihood estimation for log-linear models," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 55(2), pages 251-263, June.

    Cited by:

    1. Gao, Wei & Shi, Ning-Zhong, 2005. "Estimating cell probabilities under order-restricted odds ratios," Computational Statistics & Data Analysis, Elsevier, vol. 49(1), pages 77-84, April.
    2. Gao, Wei & Shi, Ning-Zhong & Tang, Man-Lai & Fu, Lianyan & Tian, Guoliang, 2010. "Unified generalized iterative scaling and its applications," Computational Statistics & Data Analysis, Elsevier, vol. 54(4), pages 1066-1078, April.

More information

Research fields, statistics, top rankings, if available.

Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 4 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (4) 2013-07-20 2017-01-29 2019-10-07 2023-03-20
  2. NEP-DCM: Discrete Choice Models (2) 2013-07-20 2017-01-29
  3. NEP-ORE: Operations Research (1) 2013-07-20

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