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Australian Graduate School of Management
Statistics Working Paper
Contact information of
Australian Graduate School of Management:
Postal: Sydney, NSW 2052
Web page: http://www.agsm.edu.au/
More information through EDIRC
For technical questions regarding this series, please contact
(Thomas Krichel)
Series handle: repec:wop:agsmst
Undated- _011 Finite sample performance of robust Bayesian regression
by Smith, M. & Sheather S. & Kohn, R.
- _010 Bayesian Semiparametric Regression: An Exposition and Application to Print Advertising Data
by Smith, M. & Mathur, S. & Kohn, R.
- _009 Nonparametric Regression using Bayesian Variable Selection
by Smith, M. & Kohn, R.
- _008 Additive Nonparametric Regression for Time Series
by Smith, M. & Chi-Ming Wong & Kohn, R.
- _007 Local Polynomial Variance Function Estimation
by Ruppert, D. & Wand, M.P. & Holst, U. & Hossjer, O.
- _006 Nonparametric autocovariance function estimation
by Hyndman, R.J. & Wand, M.P. (1996)
- _005 Semiparametric Bayesian inference for time series with mixed spectra
by Carter, C.K. & Kohn, R.
- _004 Robust Bayesian nonparametric regression
by Carter, C.K. & Kohn, R.
- _003 Markov Chain Monte Carlo in Conditionally Gaussian State Space Models
by Carter, C.K. & Kohn, R.
- _002 Robust Bayesian estimation of autoregressive-moving range models
by Barnett, G. & Kohn, R. & Sheather, S.
- _001 Bayesian Estimation of an Autoregressive Model Using Markov Chain Monte Carlo
by Barnett, G. & Kohn, R. & Sheather, S.
- 95011 Data-Based Choice of Histogram Bin Width
by Wand, M.P.
- 95010 Generalized Partially Linear Single-Index Models
by Carroll, R.J. & Fan, Jianqing. & Gijbels, Irene. & Wand, M.P.
- 95009 Fast Computation of Auxiliary Quantities in Local Polynomial Regression
by Turlach, B.A. & Wand, M.P.
- 95008 Accuracy of Binned Kernel Functional Approximations
by Gonzalez-Manteiga, W. & Sanchez-Sellero, C. & Wand, M.P.
- 93003 On the Accuracy of Binned Kernel Density Estimators
by Hall, Peter. & Wand, M.P.
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This page was last updated on 2009-11-6.
This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.