يعرض 1 - 4 نتائج من 4 نتيجة بحث عن '"Gemma E. Moran"', وقت الاستعلام: 0.79s تنقيح النتائج
  1. 1
    دورية أكاديمية
    Spike-and-Slab Group Lassos for Grouped Regression and Sparse Generalized Additive Models

    المؤلفون: Ray Bai, Gemma E. Moran, Joseph L. Antonelli, Yong Chen, Mary R. Boland

    المصدر: Taylor & Francis Journals, Journal of the American Statistical Association. 117(537):184-197

    الإتاحة: https://ideas.repec.org/a/taf/jnlasa/v117y2022i537p184-197.html

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  2. 2
    Serendipity based recommender system for perovskites material discovery: balancing exploration and exploitation across multiple models

    المؤلفون: Venkateswaran Shekar, Vincent Yu, Benjamin J. Garcia, David Benjamin Gordon, Gemma E. Moran, David M. Blei, Loïc M. Roch, Alberto García-Durán, Mansoor Ani Najeeb, Margaret Zeile, Philip W. Nega, Zhi Li, Mina A. Kim, Emory M. Chan, Alexander J. Norquist, Sorelle Friedler, Joshua Schrier

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9b7d8eb73803574e204f28241acb281
    https://doi.org/10.26434/chemrxiv-2022-l1wpf-v2

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  3. 3
    Spike-and-slab Lasso biclustering

    المؤلفون: Gemma E. Moran, Veronika Rockova, Edward I. George

    المصدر: The Annals of Applied Statistics. 15

    مصطلحات موضوعية: Statistics and Probability, Computer science, Feature selection, Recommender system, computer.software_genre, Biclustering, Set (abstract data type), Bayes' theorem, Lasso (statistics), Modeling and Simulation, Expectation–maximization algorithm, Data mining, Statistics, Probability and Uncertainty, Cluster analysis, computer

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::fe2a996ce868a7679c30cec2ca60f7ca
    https://doi.org/10.1214/20-aoas1385

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  4. 4
    Variance prior forms for high-dimensional Bayesian variable selection

    المؤلفون: Veronika Rockova, Edward I. George, Gemma E. Moran

    المصدر: Bayesian Anal. 14, no. 4 (2019), 1091-1119

    مصطلحات موضوعية: FOS: Computer and information sciences, Statistics and Probability, Shrinkage estimator, Spike-and-Slab Lasso, Bayesian probability, 01 natural sciences, Conjugate prior, Methodology (stat.ME), 010104 statistics & probability, Lasso (statistics), 0502 economics and business, Prior probability, Statistics, Linear regression, Statistics::Methodology, 0101 mathematics, penalized likelihood, Statistics - Methodology, 050205 econometrics, Mathematics, Bayesian variable selection, Jeffreys’ priors, Applied Mathematics, 05 social sciences, Linear model, Bayesian shrinkage, Variance (accounting), Statistics::Computation

    وصف الملف: application/pdf

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dcd1362d18f13b9aed666616d74f41b7
    http://arxiv.org/abs/1801.03019

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