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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Vydané v:	Stats (Basel, Switzerland) Ročník 4; číslo 3; s. 762 - 775
Hlavní autori:	Ebert, Anthony, Mengersen, Kerrie, Ruggeri, Fabrizio, Wu, Paul
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.09.2021
Predmet:	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
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