Australian Graduate School of Management

For technical questions regarding this series, please contact (Thomas Krichel)
Series handle: repec:wop:agsmst

• _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.