A Modelling Approach for Bandwidth Selection in Kernel Density Estimation

Author:

Brewer Mark J.

Publisher

Physica-Verlag HD

Reference10 articles.

1. Besag, J. & Green, P.J. (1993). Spatial Statistics and Bayesian Computation. Journal of the Royal Statistical Society, B 55, No. 1 25–38.

2. Brewer, M.J. (1998). A Model-Based Approach for Variable Bandwidth Selection in Kernel Density Estimation. Technical report, URL http://www.msor0.ex.ac.uk /Staff/MJBrewer/research/98-1.ps.

3. Brewer, M.J., Aitken, C.G.G. & Talbot, M. (1996). A Comparison of Hybrid Strategies for Gibbs Sampling in Mixed Graphical Models. Computational Statistics and Data Analysis, 21, 343–365.

4. Cook, R.D. & Weisberg, S. (1994). An Introduction to Regression Graphics. New York: Wiley.

5. Diebolt, J. & Robert, C.P. (1994). Estimation of Finite Mixture Distributions through Bayesian Sampling. Journal of the Royal Statistical Society, B 56, No. 2 363–375.

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