Wen Cheng
Bayesian registration of functions and curves
Cheng, Wen; Dryden, Ian L.; Huang, Xianzheng
Abstract
Bayesian analysis of functions and curves is considered, where warping and other geometrical transformations are often required for meaningful comparisons. The functions and curves of interest are represented using the recently introduced square root velocity function, which enables a warping invariant elastic distance to be calculated in a straightforward manner. We distinguish between various spaces of interest: the original space, the ambient space after standardizing, and the quotient space after removing a group of transformations. Using Gaussian process models in the ambient space and Dirichlet priors for the warping functions, we explore Bayesian inference for curves and functions. Markov chain Monte Carlo algorithms are introduced for simulating from the posterior. We also compare ambient and quotient space estimators for mean shape, and explain their frequent similarity in many practical problems using a Laplace approximation. Simulation studies are carried out, as well as practical alignment of growth rate functions and shape classification of mouse vertebra outlines in evolutionary biology. We also compare the performance of our Bayesian method with some alternative approaches.
Citation
Cheng, W., Dryden, I. L., & Huang, X. (2015). Bayesian registration of functions and curves. Bayesian Analysis, 2015, https://doi.org/10.1214/15-BA957
Journal Article Type | Article |
---|---|
Publication Date | Jan 1, 2015 |
Deposit Date | Jul 6, 2015 |
Publicly Available Date | Jul 6, 2015 |
Journal | Bayesian Analysis |
Print ISSN | 1936-0975 |
Electronic ISSN | 1931-6690 |
Publisher | International Society for Bayesian Analysis |
Peer Reviewed | Peer Reviewed |
Volume | 2015 |
DOI | https://doi.org/10.1214/15-BA957 |
Keywords | Ambient space, Dirichlet, Gaussian process, Quotient space, Shape, Warp. |
Public URL | https://nottingham-repository.worktribe.com/output/988017 |
Publisher URL | http://projecteuclid.org/euclid.ba/1433162661 |
Files
chengetal2015.pdf
(2.3 Mb)
PDF
You might also like
Rank-based model selection for multiple ions quantum tomography
(2012)
Journal Article
Distances and inference for covariance operators
(2014)
Journal Article
Covariance analysis for temporal data, with applications to DNA modelling
(2017)
Journal Article
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search