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...
Main Author: | Ma, Hon Wai |
---|---|
Language: | English |
Published: |
University of British Columbia
2010
|
Online Access: | http://hdl.handle.net/2429/26004 |
Similar Items
-
Bayesian Nonparametric Methods with Applications in Longitudinal, Heterogeneous and Spatiotemporal Data
by: Duan, Li
Published: (2015) -
Nonparametric Bayesian Methods for Extracting Structure from Data
by: Meeds, Edward
Published: (2008) -
Nonparametric Bayesian Methods for Extracting Structure from Data
by: Meeds, Edward
Published: (2008) -
Bayesian Nonparametric Methods for Learning Markov Switching Processes
by: Fox, Emily Beth, et al.
Published: (2012) -
Bayesian nonparametric modelling of financial data
by: Delatola, Eleni-Ioanna
Published: (2012)