Bayesian surface smoothing under anisotropy
Bayesian surface smoothing using splines usually proceeds by choosing the smoothness parameter through the use of data driven methods like generalized cross validation. In this methodology, knots of the splines are assumed to lie at the data locations. When anisotropy is present in t...
Main Author: | Chakravarty, Subhashish |
---|---|
Other Authors: | Woodworth, George G., 1940- |
Format: | Others |
Language: | English |
Published: |
University of Iowa
2007
|
Subjects: | |
Online Access: | https://ir.uiowa.edu/etd/169 https://ir.uiowa.edu/cgi/viewcontent.cgi?article=1354&context=etd |
Similar Items
-
Hierarchical Bayesian Choice of Laplacian ARMA Models Based on Reversible Jump MCMC Computation
by: Suparman
Published: (2020-03-01) -
A Non-parametric Bayesian Method for Hierarchical Clustering of Longitudinal Data
by: Ren, Yan
Published: (2012) -
Hitters vs. Pitchers: A Comparison of Fantasy Baseball Player Performances Using Hierarchical Bayesian Models
by: Huddleston, Scott D.
Published: (2012) -
Peptide Identification: Refining a Bayesian Stochastic Model
by: Acquah, Theophilus Barnabas Kobina
Published: (2017) -
An Introduction to Bayesian Methodology via WinBUGS and PROC MCMC
by: Lindsey, Heidi Lula
Published: (2011)