Smoothing locally regular processes by Bayesian nonparametric methods, with applications to acid rain data analysis
We consider the problem of recovering an unknown smooth function from the data using the Bayesian nonparametric approach proposed by Weerahandi and Zidek (1985). Selected nonparametric smoothing methods are reviewed and compared with this new method. At each value of the independent variable, the sm...
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Language: | English |
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University of British Columbia
2010
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Online Access: | http://hdl.handle.net/2429/26004 |