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Response mixture models based on supervised components: clustering floristic taxa

Autor: Julien Gibaud, Xavier Bry, Catherine Trottier, Frédéric Mortier, Maxime Réjou-Méchain

Publikováno v: Statistical Modelling
Statistical Modelling, 2022, ⟨10.1177/1471082X221115525⟩

International audience; In this paper, we propose to cluster responses in order to identify groups predicted by specific explanatory components. A response matrix is assumed to depend on a set of explanatory variables, and a set of additional covaria

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3850674eab0b0c9249af553c12690d11
https://hal.archives-ouvertes.fr/hal-03547177

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Unveiling African rainforest composition and vulnerability to global change

Publikováno v: Nature
Nature, Nature Publishing Group, 2021, 593, pp.90-94. ⟨10.1038/s41586-021-03483-6⟩
Nature, 2021, 593, pp.90-94. ⟨10.1038/s41586-021-03483-6⟩

Africa is forecasted to experience large and rapid climate change1 and population growth2 during the twenty-first century, which threatens the world’s second largest rainforest. Protecting and sustainably managing these African forests requires an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e43d4d61a2fe31dfe47895f834b3aa1
https://hal.inrae.fr/hal-03205277/document

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Component-based regularization of a multivariate GLM with a thematic partitioning of the explanatory variables

Autor: Guillaume Cornu, Xavier Bry, Frédéric Mortier, Catherine Trottier

Publikováno v: Statistical Modelling

We address component-based regularization of a multivariate generalized linear model (GLM). A vector of random responses [Formula: see text] is assumed to depend, through a GLM, on a set [Formula: see text] of explanatory variables, as well as on a s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bdef7b685e067ff1b2ce7f83c5e4cd3b
http://agritrop.cirad.fr/590140/

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Component-based regularisation of multivariate generalised linear mixed models

Autor: Catherine Trottier, Jocelyn Chauvet, Xavier Bry

Publikováno v: Journal of Computational and Graphical Statistics
Journal of Computational and Graphical Statistics, Taylor & Francis, In press, ⟨10.1080/10618600.2019.1598870⟩

We address the component-based regularisation of a multivariate Generalised Linear Mixed Model (GLMM) in the framework of grouped data. A set Y of random responses is modelled with a multivariate GLMM, based on a set X of explanatory variables, a set

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d746a1e91e4315c2db85d25926b09811
http://arxiv.org/abs/1908.04020

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Bridging data exploration and modeling in event-history analysis: The supervised-component Cox regression

Autor: Théo Simac, Xavier Bry, Salah Eddine El Ghachi, Philippe Antoine

Publikováno v: Mathematical Population Studies
Mathematical Population Studies, Taylor & Francis (Routledge), In press
Mathematical Population Studies, Taylor & Francis (Routledge), 2019, ⟨10.1080/08898480.2018.1553413⟩

In event-history analysis with many possibly collinear regressors, Cox's proportional hazard model, like all generalized linear models, can fail to be identified. Dimension-reduction and regularization are therefore needed. Penalty-based methods such

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::556641357a855368557966dd2898d6bf
https://hal.archives-ouvertes.fr/hal-01962758

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Current multiblock methods: competition or complementarity? A comparative study in a unified framework

Autor: Thomas Verron, Stéphanie Bougeard, Ndèye Niang, Xavier Bry

Publikováno v: Chemometrics and Intelligent Laboratory Systems
Chemometrics and Intelligent Laboratory Systems, Elsevier, 2018, 182, pp.131-148. ⟨10.1016/j.chemolab.2018.09.003⟩
Agrostat 2018
Agrostat 2018, Mar 2018, Marseille, France

We address the issue of exploring—with respect to multiple regression model(s) or to simple pairwise links—the relationships between blocks of variables measured on the same observations. Multiblock methods have been developed over the past twent

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08680ba065675fc18f226adadbfdffdf
https://hal.archives-ouvertes.fr/hal-01962769

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EM algorithm estimation of a structural equation model for the longitudinal study of the quality of life

Autor: Caroline Bascoul-Mollevi, Christian Lavergne, Antoine Barbieri, Sophie Gourgou, Xavier Bry, D. Azria, Myriam Tami

Publikováno v: Statistics in Medicine
Statistics in Medicine, Wiley-Blackwell, 2017, 37 (6), pp.1031-1046. ⟨10.1002/sim.7557⟩

Health-related quality of life (HRQoL) data are measured via patient questionnaires, completed by the patients themselves at different time points. We focused on oncology data gathered through the use of European Organization for Research and Treatme

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7305eefc47be90d126dbb6ce3f28f434
https://hal.archives-ouvertes.fr/hal-01819642

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THEME: THEmatic model exploration through multiple co-structure maximization

Autor: Xavier Bry, Thomas Verron

Publikováno v: Journal of Chemometrics
Journal of Chemometrics, Wiley, 2015, 29 (12), pp.637-647. ⟨10.1002/cem.2759⟩

After showing that plain covariance or correlation-based criteria are generally not suitable to deal with multiple-block component models in an exploratory framework, we propose an extended criterion: multiple co-structure (MCS). MCS combines the goo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41a3aa8e5d4122bd0ee953174b49c067
https://doi.org/10.1002/cem.2759

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