Multivariate count time series segmentation with “sums and shares” and Poisson lognormal mixture models: a comparative study using pedestrian flows within a multimodal transport hub-Reference-Cited by-同舟云学术

Multivariate count time series segmentation with “sums and shares” and Poisson lognormal mixture models: a comparative study using pedestrian flows within a multimodal transport hub

Published:2023-05-29 Issue: Volume: Page:
ISSN:1862-5347
Container-title:Advances in Data Analysis and Classification
language:en
Short-container-title:Adv Data Anal Classif

Author:

de Nailly Paul^ORCID,Côme Etienne,Oukhellou Latifa,Samé Allou,Ferriere Jacques,Merad-Boudia Yasmine

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Statistics and Probability

Link

https://link.springer.com/content/pdf/10.1007/s11634-023-00543-9.pdf

Reference49 articles.

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5. Balzotti C, Bragagnini A, Briani M et al (2018) Understanding human mobility flows from aggregated mobile phone data. IFAC-PapersOnLine 51(9):25–30

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