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Han Lin Shang

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This is information that was supplied by Han Lin Shang in registering through RePEc. If you are Han Lin Shang , you may change this information at the RePEc Author Service. Or if you are not registered and would like to be listed as well, register at the RePEc Author Service. When you register or update your RePEc registration, you may identify the papers and articles you have authored.

Personal Details

First Name: Han Lin
Middle Name:
Last Name: Shang
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RePEc Short-ID: psh533

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Homepage: http://monashforecasting.com/index.php?title=User:Han
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Affiliation

Works

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Working papers

  1. Xibin Zhang & Maxwell L. King & Han Lin Shang, 2013. "Bayesian bandwidth selection for a nonparametric regession model with mixed types of regressors," Monash Econometrics and Business Statistics Working Papers 13/13, Monash University, Department of Econometrics and Business Statistics.
  2. Xibin Zhang & Maxwell L. King & Han Lin Shang, 2013. "A sampling algorithm for bandwidth estimation in a nonparametric regression model with a flexible error density," Monash Econometrics and Business Statistics Working Papers 20/13, Monash University, Department of Econometrics and Business Statistics.
  3. Han Lin Shang, 2012. "Point and interval forecasts of age-specific fertility rates: a comparison of functional principal component methods," Monash Econometrics and Business Statistics Working Papers 10/12, Monash University, Department of Econometrics and Business Statistics.
  4. Han Lin Shang, 2011. "A survey of functional principal component analysis," Monash Econometrics and Business Statistics Working Papers 6/11, Monash University, Department of Econometrics and Business Statistics.
  5. Xibin Zhang & Maxwell L. King & Han Lin Shang, 2011. "Bayesian estimation of bandwidths for a nonparametric regression model with a flexible error density," Monash Econometrics and Business Statistics Working Papers 10/11, Monash University, Department of Econometrics and Business Statistics.
  6. Han Lin Shang & Rob J Hyndman & Heather Booth, 2010. "A comparison of ten principal component methods for forecasting mortality rates," Monash Econometrics and Business Statistics Working Papers 8/10, Monash University, Department of Econometrics and Business Statistics.
  7. Han Lin Shang, 2010. "Nonparametric modeling and forecasting electricity demand: an empirical study," Monash Econometrics and Business Statistics Working Papers 19/10, Monash University, Department of Econometrics and Business Statistics.
  8. Han Lin Shang & Rob J Hyndman, 2009. "Nonparametric time series forecasting with dynamic updating," Monash Econometrics and Business Statistics Working Papers 8/09, Monash University, Department of Econometrics and Business Statistics.
  9. Rob J. Hyndman & Han Lin Shang, 2008. "Rainbow plots, Bagplots and Boxplots for Functional Data," Monash Econometrics and Business Statistics Working Papers 9/08, Monash University, Department of Econometrics and Business Statistics.

Articles

  1. Han Lin Shang, 2013. "The BUGS book: a practical introduction to Bayesian analysis," Journal of Applied Statistics, Taylor & Francis Journals, vol. 40(12), pages 2774-2775, December.
  2. Shang, Han Lin, 2013. "Bayesian bandwidth estimation for a nonparametric functional regression model with unknown error density," Computational Statistics & Data Analysis, Elsevier, vol. 67(C), pages 185-198.
  3. Han Lin Shang, 2013. "Functional time series approach for forecasting very short-term electricity demand," Journal of Applied Statistics, Taylor & Francis Journals, vol. 40(1), pages 152-168, January.
  4. Han Lin Shang, 2012. "Point and interval forecasts of age-specific life expectancies," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 27(21), pages 593-644, November.
  5. Han Lin Shang, 2012. "Graphics for statistics and data analysis with R," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(8), pages 1843-1844, August.
  6. Han Lin Shang, 2011. "Non-Parametric Econometrics," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(12), pages 2992-2992, December.
  7. Han Lin Shang, 2011. "Bayesian Nonparametrics," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(12), pages 2990-2990, December.
  8. Han Lin Shang, 2011. "Dynamic linear models with R," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(10), pages 2369-2370.
  9. Han Lin Shang & Heather Booth & Rob Hyndman, 2011. "Point and interval forecasts of mortality rates and life expectancy: A comparison of ten principal component methods," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 25(5), pages 173-214, July.
  10. Hyndman, Rob J. & Ahmed, Roman A. & Athanasopoulos, George & Shang, Han Lin, 2011. "Optimal combination forecasts for hierarchical time series," Computational Statistics & Data Analysis, Elsevier, vol. 55(9), pages 2579-2589, September.
  11. Shang, Han Lin & Hyndman, Rob.J., 2011. "Nonparametric time series forecasting with dynamic updating," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(7), pages 1310-1324.

NEP Fields

9 papers by this author were announced in NEP, and specifically in the following field reports (number of papers):
  1. NEP-AGE: Economics of Ageing (1) 2010-05-02
  2. NEP-DEM: Demographic Economics (1) 2012-05-02
  3. NEP-ECM: Econometrics (6) 2009-03-22 2009-09-26 2010-11-27 2011-06-18 2011-09-05 2013-11-16. Author is listed
  4. NEP-ENE: Energy Economics (1) 2010-11-27
  5. NEP-ETS: Econometric Time Series (2) 2009-09-26 2011-06-18
  6. NEP-FOR: Forecasting (7) 2009-09-26 2010-05-02 2010-11-27 2011-09-05 2012-05-02 2013-06-30 2013-11-16. Author is listed
  7. NEP-HEA: Health Economics (1) 2010-05-02
  8. NEP-ORE: Operations Research (1) 2011-09-05
  9. NEP-RMG: Risk Management (1) 2011-09-05

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