Estimating state-price densities with nonparametric regression
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Bibliographic InfoPaper provided by Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes in its series SFB 373 Discussion Papers with number 2002,40.
Date of creation: 2002
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- Wolfgang Härdle & Zdenek Hlavka, 2005.
"Dynamics of State Price Densities,"
SFB 649 Discussion Papers
SFB649DP2005-021, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Zhang, Xibin & Brooks, Robert D. & King, Maxwell L., 2009.
"A Bayesian approach to bandwidth selection for multivariate kernel regression with an application to state-price density estimation,"
Journal of Econometrics,
Elsevier, vol. 153(1), pages 21-32, November.
- Xibin Zhang & Robert D. Brooks & Maxwell L. King, 2007. "A Bayesian approach to bandwidth selection for multivariate kernel regression with an application to state-price density estimation," Monash Econometrics and Business Statistics Working Papers 11/07, Monash University, Department of Econometrics and Business Statistics.
- 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.
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