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Semiparametric smoothing for discrete data

Faddy, M. J. and Jones, M. C. (1998). Semiparametric smoothing for discrete data. Biometrika, 85(1) pp. 131–138.

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A method for semiparametric smoothing of discrete data is proposed. The method consists of the repeated application of a Markov chain transition matrix constructed so as to have a given standard discrete parametric vehicle model as its stationary distribution. Theory and practical examples suggest that the approach yields improved performance over fully nonparametric methods when the vehicle model is a good one and otherwise provides a method comparable to fully nonparametric smoothers. An automatic choice of the amount of smoothing is proposed and used.

Item Type: Journal Item
Copyright Holders: 1998 Biometrika Trust
ISSN: 1464-3510
Keywords: binomial; Markov chain; poisson; probability function estimate; smoothing parameter selection; stationary distribution
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Mathematics and Statistics
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 24030
Depositing User: Sarah Frain
Date Deposited: 04 May 2011 14:10
Last Modified: 07 Dec 2018 09:42
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