Printed from https://ideas.repec.org/s/wop/agsmst.html
Content
Undated material is presented at the end, although it may be more recent than other items
Undated
- 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. - _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. - _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.