Curve Registration of Functional Data for Approximate Bayesian Computation

Approximate Bayesian computation is a likelihood-free inference method which relies on comparing model realisations to observed data with informative distance measures. We obtain functional data that are not only subject to noise along their y axis but also to a random warping along their x axis, wh...

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Bibliographic Details

Published in:	Stats (Basel, Switzerland) Vol. 4; no. 3; pp. 762 - 775
Main Authors:	Ebert, Anthony, Mengersen, Kerrie, Ruggeri, Fabrizio, Wu, Paul
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.09.2021
Subjects:	approximate Bayesian computation curve registration Data analysis Fisher–Rao metric functional data hydrological flow likelihood-free inference Mathematical functions Random variables Registration Simulation Spectrum analysis
ISSN:	2571-905X, 2571-905X
Online Access:	Get full text
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