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Statistical study of asymmetry in cell lineage data

hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierQuality control and dynamic reliability [CQFD]
hal.structure.identifierInstitut de Mathématiques et de Modélisation de Montpellier [I3M]
dc.contributor.authorDE SAPORTA, Benoîte
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierQuality control and dynamic reliability [CQFD]
dc.contributor.authorGÉGOUT-PETIT, Anne
hal.structure.identifierLaboratoire Paul Painlevé - UMR 8524 [LPP]
dc.contributor.authorMARSALLE, Laurence
dc.date.accessioned2024-04-04T02:25:04Z
dc.date.available2024-04-04T02:25:04Z
dc.date.created2012-05-22
dc.date.issued2014
dc.identifier.issn0167-9473
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/189858
dc.description.abstractEnA rigorous methodology is proposed to study cell division data consisting in several observed genealogical trees of possibly different shapes. The procedure takes into account missing observations, data from different trees, as well as the dependence structure within genealogical trees. Its main new feature is the joint use of all available information from several data sets instead of single data set estimation, to avoid the drawbacks of low accuracy for estimators or low power for tests on small single trees. The data is modeled by an asymmetric bifurcating autoregressive process and possibly missing observations are taken into account by modeling the genealogies with a two-type Galton-Watson process. Least-squares estimators of the unknown parameters of the processes are given and symmetry tests are derived. Results are applied on real data of Escherichia coli division and an empirical study of the convergence rates of the estimators and power of the tests is conducted on simulated data.
dc.language.isoen
dc.publisherElsevier
dc.title.enStatistical study of asymmetry in cell lineage data
dc.typeArticle de revue
dc.identifier.doi10.1016/j.csda.2013.07.025
dc.subject.halStatistiques [stat]/Applications [stat.AP]
dc.identifier.arxiv1205.4840
bordeaux.journalComputational Statistics and Data Analysis
bordeaux.page15-39
bordeaux.volume69
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-00702359
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00702359v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Computational%20Statistics%20and%20Data%20Analysis&rft.date=2014&rft.volume=69&rft.spage=15-39&rft.epage=15-39&rft.eissn=0167-9473&rft.issn=0167-9473&rft.au=DE%20SAPORTA,%20Beno%C3%AEte&G%C3%89GOUT-PETIT,%20Anne&MARSALLE,%20Laurence&rft.genre=article


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