Use this URL to cite or link to this record in EThOS:
Title: The taut string methodology adapted to correlated and bivariate curves
Author: Tang, Judy
ISNI:       0000 0004 2679 1381
Awarding Body: University of Bristol
Current Institution: University of Bristol
Date of Award: 2009
Availability of Full Text:
Access from EThOS:
The taut string and the multiresolution criterion methodology has been proven by Davies and Kovac (2001) [14], to be effective in the univariate i.i.d. Gaussian noise curve estimation problem in finding simple approximations with attractive modality properties. In this thesis we propose to extend the problem to correlated noise and also to noisy bivariate observations.
Supervisor: Not available Sponsor: Not available
Qualification Name: Not available Qualification Level: Doctoral
EThOS ID:  DOI: Not available