Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Meili Baragatti"'
Autor:
Joséphine Godillot, Clara Baconin, Isabelle Sanchez, Meili Baragatti, Marc Perez, Yannick Sire, Evelyne Aguera, Jean-Marie Sablayrolles, Vincent Farines, Jean-Roch Mouret
Publikováno v:
Frontiers in Microbiology, Vol 14 (2023)
Among the different compounds present in the must, nitrogen is an essential nutrient for the management of fermentation kinetics, also playing a major role in the synthesis of fermentative aromas. Fermentation temperature is yet another variable that
Externí odkaz:
https://doaj.org/article/93d3c11d573547bbbf961a6ef09247bc
Autor:
Denys Pommeret, Meili Baragatti
Publikováno v:
Computational Statistics & Data Analysis. 56:1920-1934
In the Bayesian stochastic search variable selection framework, a common prior distribution for the regression coefficients is the g-prior of Zellner. However there are two standard cases where the associated covariance matrix does not exist and the
Autor:
Meili Baragatti, Rayjean J. Hung, Dana Mates, Jolanta Lissowska, James McKay, Norman Moullan, Janet E. Hall, Federico Canzian, Vladimir Bencko, Duncan C. Thomas, Neonila Szeszenia-Dabrowska, Paolo Boffetta, Peter Rudnai, Lenka Foretova, Amelie Chabrier, David Zaridze, Vladimir Janout, Paul Brennan, Eleonora Fabianova
Publikováno v:
Cancer Epidemiology, Biomarkers & Prevention. 16:2736-2744
The DNA repair systems maintain the integrity of the human genome and cell cycle checkpoints are a critical component of the cellular response to DNA damage. We hypothesized that genetic variants in DNA repair and cell cycle control pathways will inf
Publikováno v:
Statistics and Computing
Statistics and Computing, Springer Verlag (Germany), 2013
Statistics and Computing, Springer Verlag (Germany), 2013, 23 (4), ⟨10.1007/s11222-012-9328-6⟩
Statistics and Computing, 2013, 23 (4), ⟨10.1007/s11222-012-9328-6⟩
Statistics and Computing, Springer Verlag (Germany), 2013
Statistics and Computing, Springer Verlag (Germany), 2013, 23 (4), ⟨10.1007/s11222-012-9328-6⟩
Statistics and Computing, 2013, 23 (4), ⟨10.1007/s11222-012-9328-6⟩
Approximate Bayesian Computational (ABC) methods (or likelihood-free methods) have appeared in the past fifteen years as useful methods to perform Bayesian analyses when the likelihood is analytically or computationally intractable. Several ABC metho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3cb63a8fdf3647be3463ef195644c094
https://hal.archives-ouvertes.fr/hal-01293345
https://hal.archives-ouvertes.fr/hal-01293345
Publikováno v:
Statistics and Computing
Statistics and Computing, Springer Verlag (Germany), 2013, 23 (3), pp.323-339. ⟨10.1007/s11222-012-9313-0⟩
Statistics and Computing, Springer Verlag (Germany), 2013
Statistics and Computing, 2013, 23 (3), pp.323-339. ⟨10.1007/s11222-012-9313-0⟩
Statistics and Computing, Springer Verlag (Germany), 2013, 23 (3), pp.323-339. ⟨10.1007/s11222-012-9313-0⟩
Statistics and Computing, Springer Verlag (Germany), 2013
Statistics and Computing, 2013, 23 (3), pp.323-339. ⟨10.1007/s11222-012-9313-0⟩
The Equi-Energy Sampler (EES) introduced by Kou et al [2006] is based on a population of chains which are updated by local moves and global moves, also called equi-energy jumps. The state space is partitioned into energy rings, and the current state
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2da191ea4ab34730f3e7acc1117a1ad
https://hal.archives-ouvertes.fr/hal-00559174v4/file/PTEEM-HAL8.pdf
https://hal.archives-ouvertes.fr/hal-00559174v4/file/PTEEM-HAL8.pdf
Autor:
Meili Baragatti
Publikováno v:
Bayesian Analysis
Bayesian Analysis, International Society for Bayesian Analysis, 2011, 6 (2), pp.209-230. ⟨10.1214/11-BA607⟩
Bayesian Anal. 6, no. 2 (2011), 209-229
Bayesian Analysis, 2011, 6 (2), pp.209-230. ⟨10.1214/11-BA607⟩
Bayesian Analysis, International Society for Bayesian Analysis, 2011, 6 (2), pp.209-230. ⟨10.1214/11-BA607⟩
Bayesian Anal. 6, no. 2 (2011), 209-229
Bayesian Analysis, 2011, 6 (2), pp.209-230. ⟨10.1214/11-BA607⟩
International audience; In computational biology, gene expression datasets are characterized by very few individual samples compared to a large number of measurements per sample. Thus, it is appealing to merge these datasets in order to increase the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8123c8cd0854ea6d943b1c762ee8fc94
Autor:
Grollemund, Paul-Marie
Publikováno v:
Méthodologie [stat.ME]. Université de Montpellier, 2017. Français
Statistiques [math.ST]. Université de Montpellier, 2017. Français
Statistiques [math.ST]. Université de Montpellier, 2017. Français
Linear Regression model is a common tool for a statistician. If a covariable is a curve, we tackle a high-dimensional issue. In this case, sparse models lead to successful inference, for instance by expanding the functional covariate on a smaller dim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::45707e00b83747243375cdf80f07b274
https://tel.archives-ouvertes.fr/tel-01714355/document
https://tel.archives-ouvertes.fr/tel-01714355/document