Kernel-Based Independence Tests for Causal Structure Learning on Functional Data

Kernel-Based Independence Tests for Causal Structure Learning on Functional Data

Measurements of systems taken along a continuous functional dimension, such as time or space, are ubiquitous in many fields, from the physical and biological sciences to economics and engineering. Such measurements can be viewed as realisations of an underlying smooth process sampled over the contin...

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Bibliographic Details
Main Authors: Felix Laumann, Julius von Kügelgen, Junhyung Park, Bernhard Schölkopf, Mauricio Barahona
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Entropy
Subjects:
causal discovery
independence tests
functional data analysis
kernel methods
Online Access:https://www.mdpi.com/1099-4300/25/12/1597

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https://www.mdpi.com/1099-4300/25/12/1597

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