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
type: Item
instance of: scholarly article
title: 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
author: Paul de Nailly
author: Etienne Côme
author: Latifa Oukhellou
author: Allou Samé
author: Jacques Ferriere
author: Yasmine Merad-Boudia
published in: Advances in Data Analysis and Classification. ADAC
publication date: 2024-10-03T00:00:00Z
Mathematics Subject Classification ID: 62H10
Mathematics Subject Classification ID: 62H30
zbMATH DE Number: 7921720
zbMATH Keywords: mixture model
zbMATH Keywords: sums and shares models
zbMATH Keywords: Poisson log-normal
zbMATH Keywords: EM algorithm
zbMATH Keywords: multimodal transport hub
zbMATH Keywords: mobility data
MaRDI profile type: Publication
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DOI: 10.1007/S11634-023-00543-9
description: scientific article; zbMATH DE number 7921720