J
Jean-Jacques Daudin
Researcher at Agro ParisTech
Publications - 76
Citations - 3936
Jean-Jacques Daudin is an academic researcher from Agro ParisTech. The author has contributed to research in topics: Random graph & Mixture model. The author has an hindex of 29, co-authored 76 publications receiving 3664 citations. Previous affiliations of Jean-Jacques Daudin include Institut national agronomique Paris Grignon & Institut national de la recherche agronomique.
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A mixture model for random graphs
TL;DR: The degree distribution and the clustering coefficient associated with this model are given, a variational method to estimate its parameters and a model selection criterion to select the number of classes are selected, which allows us to deal with large networks containing thousands of vertices.
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A statistical approach for array CGH data analysis.
TL;DR: It is demonstrated that existing methods for estimating the number of segments are not well adapted in the case of array CGH data, and an adaptive criterion is proposed that detects previously mapped chromosomal aberrations.
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Meta-analyses of experimental data in animal nutrition
TL;DR: Research in animal sciences, especially nutrition, increasingly requires processing and modeling of databases, and statistical methods dealing with the analysis of summary (literature) data, known as meta-analyses, must be used.
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Consistency of maximum-likelihood and variational estimators in the stochastic block model
TL;DR: The identi ability of SBM is proved, while asymptotic properties of maximum-likelihood and variational esti- mators are provided, and the consistency of these estimators is settled, which is, to the best of the authors' knowledge, the rst result of this type for variational estimators with random graphs.
Journal Article
Double sampling X charts
TL;DR: In this article, the double sampling X chart is proposed, which is the counterpart to double sampling plans, which offers better statistical efficiency (in terms of statistical efficiency) than double sampling plan.