Estimation of discrete partially directed acyclic graphical models in multitype branching processes
We address the inference of discrete-state models for tree-structured data. Our aims is to introduce parametric multitype branching processes that can be efficiently estimated on the basis of data of limited size. Each generation distribution within this macroscopic model is modeled by a partially directed acyclic graphical model. The estimation of each graphical model relies on a greedy algorithm for graph selection. We present an algorithm for discrete graphical model which is applied on multivariate count data. The proposed modeling approach is illustrated on plant architecture datasets.
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dig-cirad-fr-5746492023-06-22T16:01:12Z http://agritrop.cirad.fr/574649/ http://agritrop.cirad.fr/574649/ Estimation of discrete partially directed acyclic graphical models in multitype branching processes. Fernique Pierre, Durand Jean-Baptiste, Guédon Yann. 2014. In : Proceedings of COMPSTAT 2014, August 19-22, 2014, Geneva, Switzerland. Manfred Gilli, Gil Gonzalez-Rodriguez, Alicia Nieto-Reyes (eds.) - Genève : Université de Genève, 2014. s.l. : s.n., 561-568. ISBN 978-2-8399-1347-8 International Conference on Computational Statistics. 21, Genève, Suisse, 19 Août 2014/22 Août 2014.http://web.tecnico.ulisboa.pt/mcasquilho/ist/public/2014compstatProceedings.pdf <http://web.tecnico.ulisboa.pt/mcasquilho/ist/public/2014compstatProceedings.pdf> Researchers Estimation of discrete partially directed acyclic graphical models in multitype branching processes Fernique, Pierre Durand, Jean-Baptiste Guédon, Yann eng 2014 s.n. Proceedings of COMPSTAT 2014, August 19-22, 2014, Geneva, Switzerland U10 - Informatique, mathématiques et statistiques F50 - Anatomie et morphologie des plantes F62 - Physiologie végétale - Croissance et développement We address the inference of discrete-state models for tree-structured data. Our aims is to introduce parametric multitype branching processes that can be efficiently estimated on the basis of data of limited size. Each generation distribution within this macroscopic model is modeled by a partially directed acyclic graphical model. The estimation of each graphical model relies on a greedy algorithm for graph selection. We present an algorithm for discrete graphical model which is applied on multivariate count data. The proposed modeling approach is illustrated on plant architecture datasets. conference_item info:eu-repo/semantics/conferenceObject Conference info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/574649/1/document_574649.pdf application/pdf Cirad license info:eu-repo/semantics/restrictedAccess https://agritrop.cirad.fr/mention_legale.html http://web.tecnico.ulisboa.pt/mcasquilho/ist/public/2014compstatProceedings.pdf info:eu-repo/semantics/altIdentifier/purl/http://web.tecnico.ulisboa.pt/mcasquilho/ist/public/2014compstatProceedings.pdf |
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U10 - Informatique, mathématiques et statistiques F50 - Anatomie et morphologie des plantes F62 - Physiologie végétale - Croissance et développement U10 - Informatique, mathématiques et statistiques F50 - Anatomie et morphologie des plantes F62 - Physiologie végétale - Croissance et développement |
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U10 - Informatique, mathématiques et statistiques F50 - Anatomie et morphologie des plantes F62 - Physiologie végétale - Croissance et développement U10 - Informatique, mathématiques et statistiques F50 - Anatomie et morphologie des plantes F62 - Physiologie végétale - Croissance et développement Fernique, Pierre Durand, Jean-Baptiste Guédon, Yann Estimation of discrete partially directed acyclic graphical models in multitype branching processes |
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We address the inference of discrete-state models for tree-structured data. Our aims is to introduce parametric multitype branching processes that can be efficiently estimated on the basis of data of limited size. Each generation distribution within this macroscopic model is modeled by a partially directed acyclic graphical model. The estimation of each graphical model relies on a greedy algorithm for graph selection. We present an algorithm for discrete graphical model which is applied on multivariate count data. The proposed modeling approach is illustrated on plant architecture datasets. |
format |
conference_item |
topic_facet |
U10 - Informatique, mathématiques et statistiques F50 - Anatomie et morphologie des plantes F62 - Physiologie végétale - Croissance et développement |
author |
Fernique, Pierre Durand, Jean-Baptiste Guédon, Yann |
author_facet |
Fernique, Pierre Durand, Jean-Baptiste Guédon, Yann |
author_sort |
Fernique, Pierre |
title |
Estimation of discrete partially directed acyclic graphical models in multitype branching processes |
title_short |
Estimation of discrete partially directed acyclic graphical models in multitype branching processes |
title_full |
Estimation of discrete partially directed acyclic graphical models in multitype branching processes |
title_fullStr |
Estimation of discrete partially directed acyclic graphical models in multitype branching processes |
title_full_unstemmed |
Estimation of discrete partially directed acyclic graphical models in multitype branching processes |
title_sort |
estimation of discrete partially directed acyclic graphical models in multitype branching processes |
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url |
http://agritrop.cirad.fr/574649/ http://agritrop.cirad.fr/574649/1/document_574649.pdf |
work_keys_str_mv |
AT ferniquepierre estimationofdiscretepartiallydirectedacyclicgraphicalmodelsinmultitypebranchingprocesses AT durandjeanbaptiste estimationofdiscretepartiallydirectedacyclicgraphicalmodelsinmultitypebranchingprocesses AT guedonyann estimationofdiscretepartiallydirectedacyclicgraphicalmodelsinmultitypebranchingprocesses |
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1769605095323860992 |