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Publications

by members of

Department of Business Statistics and Econometrics
Guanghua School of Management
Peking University
Beijing, China

These are publications listed in RePEc written by members of the above institution who are registered with the RePEc Author Service. Thus this compiles the works all those currently affiliated with this institution, not those affilated at the time of publication. List of registered members. Register yourself. Citation analysis. Find also a compilation of publications from alumni here.

This page is updated in the first days of each month.

| Working papers | Journal articles |

Working papers

2014

  1. Chen, Song Xi & Lei, Lihua & Tu, Yundong, 2014. "Functional Coefficient Moving Average Model with Applications to forecasting Chinese CPI," MPRA Paper 67074, University Library of Munich, Germany, revised 2015.
  2. Tae-Hwy Lee & Yundong Tu & Aman Ullah, 2014. "Nonparametric and Semiparametric Regressions Subject to Monotonicity Constraints: Estimation and Forecasting," Working Papers 201404, University of California at Riverside, Department of Economics.
  3. Tae-Hwy Lee & Yundong Tu & Aman Ullah, 2014. "Forecasting Equity Premium: Global Historical Average versus Local Historical Average and Constraints," Working Papers 201405, University of California at Riverside, Department of Economics.

2008

  1. Richard Arnott & Yundong Tu, 2008. "Shopper City," Working Papers 200811, University of California at Riverside, Department of Economics, revised Aug 2008.

Journal articles

2016

  1. Li, Shuo & Tu, Yundong, 2016. "On estimating the nonparametric multiplicative error models," Economics Letters, Elsevier, vol. 143(C), pages 66-68.

2015

  1. Liangjun Su & Yundong Tu & Aman Ullah, 2015. "Testing Additive Separability of Error Term in Nonparametric Structural Models," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 1057-1088, December.
  2. Tae-Hwy Lee & Yundong Tu & Aman Ullah, 2015. "Forecasting Equity Premium: Global Historical Average Versus Local Historical Average and Constraints," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(3), pages 393-402, July.

2014

  1. Lee, Tae-Hwy & Tu, Yundong & Ullah, Aman, 2014. "Nonparametric and semiparametric regressions subject to monotonicity constraints: Estimation and forecasting," Journal of Econometrics, Elsevier, vol. 182(1), pages 196-210.

2010

  1. Chih-Ling Tsai & Hansheng Wang & Ning Zhu, 2010. "Does a Bayesian approach generate robust forecasts? Evidence from applications in portfolio investment decisions," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 62(1), pages 109-116, February.
  2. Zhang, Hao Helen & Lu, Wenbin & Wang, Hansheng, 2010. "On sparse estimation for semiparametric linear transformation models," Journal of Multivariate Analysis, Elsevier, vol. 101(7), pages 1594-1606, August.

2009

  1. Hansheng Wang & Bo Li & Chenlei Leng, 2009. "Shrinkage tuning parameter selection with a diverging number of parameters," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 71(3), pages 671-683, June.
  2. Wang, Hansheng & Xia, Yingcun, 2009. "Shrinkage Estimation of the Varying Coefficient Model," Journal of the American Statistical Association, American Statistical Association, vol. 104(486), pages 747-757.

2008

  1. Jiang, Guohua & Wang, Hansheng, 2008. "Should earnings thresholds be used as delisting criteria in stock market?," Journal of Accounting and Public Policy, Elsevier, vol. 27(5), pages 409-419.
  2. Da Huang & Hansheng Wang & Qiwei Yao, 2008. "Estimating GARCH models: when to use what?," Econometrics Journal, Royal Economic Society, vol. 11(1), pages 27-38, March.
  3. Wang, Hansheng & Xia, Yingcun, 2008. "Sliced Regression for Dimension Reduction," Journal of the American Statistical Association, American Statistical Association, vol. 103, pages 811-821, June.
  4. Wang, Hansheng & Leng, Chenlei, 2008. "A note on adaptive group lasso," Computational Statistics & Data Analysis, Elsevier, vol. 52(12), pages 5277-5286, August.
  5. Ronghua Luo & Hansheng Wang, 2008. "A composite logistic regression approach for ordinal panel data regression," International Journal of Data Analysis Techniques and Strategies, Inderscience Enterprises Ltd, vol. 1(1), pages 29-43.

2007

  1. Wang, Hansheng & Li, Guodong & Jiang, Guohua, 2007. "Robust Regression Shrinkage and Consistent Variable Selection Through the LAD-Lasso," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 347-355, July.
  2. Wang, Hansheng, 2007. "A note on iterative marginal optimization: a simple algorithm for maximum rank correlation estimation," Computational Statistics & Data Analysis, Elsevier, vol. 51(6), pages 2803-2812, March.
  3. Hansheng Wang & Guodong Li & Chih‐Ling Tsai, 2007. "Regression coefficient and autoregressive order shrinkage and selection via the lasso," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 69(1), pages 63-78, February.
  4. Wang, Hansheng & Leng, Chenlei, 2007. "Unified LASSO Estimation by Least Squares Approximation," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 1039-1048, September.
  5. Hansheng Wang & Runze Li & Chih-Ling Tsai, 2007. "Tuning parameter selectors for the smoothly clipped absolute deviation method," Biometrika, Biometrika Trust, vol. 94(3), pages 553-568.

2002

  1. Shao J. & Wang H., 2002. "Sample Correlation Coefficients Based on Survey Data Under Regression Imputation," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 544-552, June.

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