المؤلفون: Ery Arias-Castro, Nicolas Verzelen

المساهمون: Mathématiques, Informatique et STatistique pour l'Environnement et l'Agronomie (MISTEA), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de la Recherche Agronomique (INRA), University of California [San Diego] (UC San Diego), University of California, US Office of Naval Research : N00014-13-1-0257, French Agence Nationale de la Recherche (ANR) : 2011 BS01 010 01

المصدر: Annals of Statistics
Annals of Statistics, Institute of Mathematical Statistics, 2017, 45 (5), pp.1920-1950. ⟨10.1214/16-AOS1513⟩
Ann. Statist. 45, no. 5 (2017), 1920-1950

مصطلحات موضوعية: FOS: Computer and information sciences, Statistics and Probability, Mathematics - Statistics Theory, Feature selection, Context (language use), Statistics Theory (math.ST), 02 engineering and technology, projection tests based on moments, 01 natural sciences, Methodology (stat.ME), 010104 statistics & probability, Normality test, [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], detection of mixtures, the sparse eigenvalue problem, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Applied mathematics, 0101 mathematics, Statistics - Methodology, Eigenvalues and eigenvectors, Mathematics, Sparse PCA, 020206 networking & telecommunications, Covariance, Minimax, Mixture model, sparse mixture models, 62H15, Gaussian mixture models, Statistics, Probability and Uncertainty, feature selection for mixtures, 62H30

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::680d0aa7af931e2cfa0fccc9721e22ebTest
https://doi.org/10.1214/16-aos1513Test

المؤلفون: Verzelen, Nicolas, Arias-Castro, Ery

المساهمون: Mathématiques, Informatique et STatistique pour l'Environnement et l'Agronomie (MISTEA), Institut National de la Recherche Agronomique (INRA)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), University of California San Diego (UC San Diego), University of California (UC), US Office of Naval Research : N00014-13-1-0257, French Agence Nationale de la Recherche (ANR) : 2011 BS01 010 01

المصدر: ISSN: 0090-5364.

مصطلحات موضوعية: detection of mixtures, feature selection for mixtures, the sparse eigenvalue problem, projection tests based on moments, Gaussian mixture models, sparse mixture models, [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]

العلاقة: info:eu-repo/semantics/altIdentifier/arxiv/1405.1478; hal-02624460; https://hal.inrae.fr/hal-02624460Test; ARXIV: 1405.1478; PRODINRA: 415828; WOS: 000416455300004

الإتاحة: https://doi.org/10.1214/16-AOS1513Test
https://hal.inrae.fr/hal-02624460Test