Introducing a new approach for modeling a given time series based on attributing any random variation to a jump event: jump-jump modeling
Crossref DOI link: https://doi.org/10.1038/s41598-024-51863-5
Published Online: 2024-01-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Movahed, Ali Asghar
Noshad, Houshyar
Text and Data Mining valid from 2024-01-12
Version of Record valid from 2024-01-12
Article History
Received: 12 August 2023
Accepted: 10 January 2024
First Online: 12 January 2024
Competing interests
: The authors declare no competing interests.