Book section : Chapter
The insertion method to invert the signature of a path
- Abstract:
- The signature is a representation of a path as an infinite sequence of its iterated integrals. Under certain assumptions, the signature characterizes the path, up to translation and reparameterization. Therefore, a crucial question of interest is the development of efficient algorithms to invert the signature, i.e., to reconstruct the path from the information of its (truncated) signature. In this article, we study the insertion procedure, originally introduced by Chang and Lyons (Insertion algorithm for inverting the signature of a path, 2019. arXiv:1907.08423), from both a theoretical and a practical point of view. After describing our version of the method, we give its rate of convergence for piecewise linear paths, accompanied by an implementation in PyTorch. The algorithm is parallelized, meaning that it is very efficient at inverting a batch of signatures simultaneously. Its performance is illustrated with both real-world and simulated examples.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Accepted manuscript, pdf, 855.7KB, Terms of use)
-
- Publisher copy:
- 10.1007/978-3-031-61853-6_29
Authors
+ Engineering and Physical Sciences Research Council
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- Funder identifier:
- https://ror.org/0439y7842
- Grant:
- EP/S026347/1
- EP/N510129/1
- Publisher:
- Springer
- Host title:
- Recent Advances in Econometrics and Statistics: Festschrift in Honour of Marc Hallin
- Pages:
- 575-595
- Place of publication:
- Cham, Switzerland
- Publication date:
- 2024-10-29
- Edition:
- 1
- DOI:
- EISBN:
- 9783031618536
- ISBN:
- 9783031618529
- Language:
-
English
- Subtype:
-
Chapter
- Pubs id:
-
2055649
- Local pid:
-
pubs:2055649
- Deposit date:
-
2025-03-10
Terms of use
- Copyright holder:
- Fermanian et al.
- Copyright date:
- 2024
- Rights statement:
- © 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG.
- Notes:
- This is the accepted manuscript version of the chapter. The final version is available online from Springer at https://dx.doi.org/10.1007/978-3-031-61853-6_29
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