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 <i>y</i> axis but also to a random warping alo...
Main Authors: | Anthony Ebert, Kerrie Mengersen, Fabrizio Ruggeri, Paul Wu |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-09-01
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Series: | Stats |
Subjects: | |
Online Access: | https://www.mdpi.com/2571-905X/4/3/45 |
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