Výsledky vyhledávání - "Catherine Laredo"

Akademický článek

Assessment of three mitochondrial genes (16S, Cytb, CO1) for identifying species in the Praomyini tribe (Rodentia: Muridae).

Autor: Violaine Nicolas, Brigitte Schaeffer, Alain Didier Missoup, Jan Kennis, Marc Colyn, Christiane Denys, Caroline Tatard, Corinne Cruaud, Catherine Laredo

Publikováno v: PLoS ONE, Vol 7, Iss 5, p e36586 (2012)

The Praomyini tribe is one of the most diverse and abundant groups of Old World rodents. Several species are known to be involved in crop damage and in the epidemiology of several human and cattle diseases. Due to the existence of sibling species the

Externí odkaz: https://doaj.org/article/8da51910fb3347c08c250ebfe73ef3ff

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PROBABILISTIC PROPERTIES AND PARAMETRIC INFERENCE OF SMALL VARIANCE NONLINEAR SELF-STABILIZING STOCHASTIC DIFFERENTIAL EQUATIONS

Autor: Valentine Genon-Catalot, Catherine Laredo

We consider a process (Xt) solution of a one-dimensional nonlinear self-stabilizing stochastic differential equation, with classical drift term V (α, x) depending on an unknown parameter α, self-stabilizing term Φ(β, x) depending on another unkno

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e551fd023a0fa825b6572b59d89e960
https://hal.archives-ouvertes.fr/hal-02955171/file/Genon_Laredo_MKV.pdf

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Inference for partially observed epidemic dynamics guided by Kalman filtering techniques

Autor: Maud Delattre, Romain Narci, Catherine Laredo, Elisabeta Vergu

Publikováno v: Computational Statistics and Data Analysis
Computational Statistics and Data Analysis, Elsevier, 2021, 164, ⟨10.1016/j.csda.2021.107319⟩

Despite the recent development of methods dealing with partially observed epidemic dynamics (unobserved model coordinates, discrete and noisy outbreak data), limitations remain in practice, mainly related to the quantity of augmented data and calibra

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38addb6eccd3cb4c6f2610740e67f799
https://hal.archives-ouvertes.fr/hal-02475936

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Population networks from DNA sequences: methodological developments

Autor: Catherine Laredo, Frédéric Austerlitz, Violaine Nicolas, Brigitte Schaeffer

Several classes of methods have been proposed for inferring the history of populations from genetic polymorphism data. As connectivity is a key factor to explain the structure of populations, several graph-based methods have been developed to this ai

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81f5f50334b35385eced4c42e1b25f1d
https://doi.org/10.1101/188268

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CORN POLLEN DISPERSAL: QUASI-MECHANISTIC MODELS AND FIELD EXPERIMENTS

Autor: Claire Lavigne, Etienne K. Klein, Pierre-Henri Gouyon, Xavier Foueillassar, Catherine Laredo

Publikováno v: Ecological Monographs. 73:131-150

To make quantitative predictions about the pollen dispersal of a plant species under different environmental conditions, it is necessary to determine its individual pollen dispersal function, i.e., the two-dimensional density function describing the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e5d2777d6e320ee449abc91042f3c61f
https://doi.org/10.1890/0012-9615(2003)073[0131:cpdqmm]2.0.co

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Asymptotic equivalence for nonparametric diffusion and Euler scheme experiments

Autor: Catherine Laredo, Valentine Genon-Catalot

Publikováno v: Annals of Statistics
Annals of Statistics, Institute of Mathematical Statistics, 2014, 42 (3), pp.1145-1165. ⟨10.1214/14-AOS1216⟩
Ann. Statist. 42, no. 3 (2014), 1145-1165
Annals of Statistics, Institute of Mathematical Statistics, 2014, 42 (3), pp.1145-1165
Annals of Statistics, Institute of Mathematical Statistics, 2014, 42 (3), pp.1145-1165. 〈10.1214/14-AOS1216〉
Annals of Statistics, 2014, 42 (3), pp.1145-1165. ⟨10.1214/14-AOS1216⟩

We prove a global asymptotic equivalence of experiments in the sense of Le Cam's theory. The experiments are a continuously observed diffusion with nonparametric drift and its Euler scheme. We focus on diffusions with nonconstant-known diffusion coef

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c6e35cdb27ba8095bb3eae4f72a734f
https://hal.archives-ouvertes.fr/hal-00738115

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Some Statistical Improvements for Estimating Population Size and Mutation Rate from Segregating Sites in DNA Sequences

Autor: Frédéric Austerlitz, Etienne K. Klein, Catherine Laredo

Publikováno v: Theoretical Population Biology
Theoretical Population Biology, Elsevier, 1999, 55 (3), pp.235-47. ⟨10.1006/tpbi.1998.1401⟩
Theoretical Population Biology, 1999, 55 (3), pp.235-47. ⟨10.1006/tpbi.1998.1401⟩
Theoretical Population Biology, Elsevier, 1999, 55, pp.235-247

International audience; In population genetics, under a neutral Wright-Fisher model, the scaling parameter straight theta=4Nmu represents twice the average number of new mutants per generation. The effective population size is N and mu is the mutatio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6330042610359813d3ad6f3068c6eeeb
https://doi.org/10.1006/tpbi.1998.1401

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Estimating Functionals of a Stochastic Process

Autor: Jacques Istas, Catherine Laredo

Publikováno v: Advances in Applied Probability
Advances in Applied Probability, Applied Probability Trust, 1997, 29, pp.249-270

The problem of estimating the integral of a stochastic process from observations at a finite number N of sampling points has been considered by various authors. Recently, Benhenni and Cambanis (1992) studied this problem for processes with mean 0 and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e9a5d5cf6962d4447dc0f5cdadc1330
https://doi.org/10.1017/s0001867800027877

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Nonlinear projection methods for visualizing Barcode data and application on two data sets

Autor: Madalina Olteanu, Violaine Nicolas, Catherine Laredo, Jan Kennis, Christiane Denys, Alain-Didier Missoup, Brigitte Schaeffer

Publikováno v: Molecular Ecology Resources
Molecular Ecology Resources, Wiley/Blackwell, 2013, 13 (6), pp.976-990. ⟨10.1111/1755-0998.12047⟩
Molecular Ecology Resources, 2013, 13 (6), pp.976-990
Molecular Ecology Resources, Wiley/Blackwell, 2013, 13 (6), pp.976-990
Molecular ecology resources
Molecular Ecology Resources, 2013, 13 (6), pp.976-990. ⟨10.1111/1755-0998.12047⟩

International audience; Developing tools for visualizing DNA sequences is an important issue in the Barcoding context. Visualizing Barcode data can be put in a purely statistical context, unsupervised learning. Clustering methods combined with projec

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed8afe56e501b0b8190b0bb69ebf3261
https://hal.archives-ouvertes.fr/hal-01519688

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Coalescent-based DNA barcoding: multilocus analysis and robustness

Autor: Raphaël Leblois, Brigitte Schaeffer, Nicolas Vergne, Olivier David, Catherine Laredo

Publikováno v: Journal of Computational Biology
Journal of Computational Biology, Mary Ann Liebert, 2012, ⟨10.1089/cmb.2011.0122⟩
Journal of Computational Biology, 2012, ⟨10.1089/cmb.2011.0122⟩
Journal of Computational Biology, Mary Ann Liebert, 2012, 19 (3), pp.271-278
Journal of Computational Biology, 2012, 19 (3), pp.271-278

DNA barcoding is the assignment of individuals to species using standardized mitochondrial sequences. Nuclear data are sometimes added to the mitochondrial data to increase power. A barcoding method for analysing mitochondrial and nuclear data is dev

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ac12741929fa2c959c7a5894f33336b
https://pubmed.ncbi.nlm.nih.gov/22401591

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