-
1تقرير
-
2
-
3
-
4تقرير
المؤلفون: Paulo, Rui
المصدر: Annals of Statistics 2005, Vol. 33, No. 2, 556-582
مصطلحات موضوعية: Mathematics - Statistics Theory, 62F15 (Primary) 62M30, 60G15 (Secondary)
URL الوصول: http://arxiv.org/abs/math/0505603
-
5
المؤلفون: Joseph Muré
المساهمون: Chambre d'Agriculture de l'Isère (CA 38)
المصدر: ESAIM: Probability and Statistics
ESAIM: Probability and Statistics, EDP Sciences, 2019, 23, pp.271-309. ⟨10.1051/ps/2018023⟩مصطلحات موضوعية: Statistics and Probability, 62F15 (Primary), 62M30, 60G15 (Secondary), reference prior, Bayesian probability, frequentist coverage, Mathematics - Statistics Theory, Statistics Theory (math.ST), 01 natural sciences, 010104 statistics & probability, symbols.namesake, Gibbs sampling, Frequentist inference, Joint probability distribution, conditional distribution, 0502 economics and business, FOS: Mathematics, Applied mathematics, Statistics::Methodology, 0101 mathematics, [MATH]Mathematics [math], 050205 econometrics, Mathematics, optimal compromise, 05 social sciences, Conditional probability, Prediction interval, Conditional probability distribution, Marginal likelihood, Statistics::Computation, Kriging, posterior propriety, symbols, Incompatibility, Markov kernel, integrated likelihood
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2160b27dedc69523ee6185f9e77dabd5
https://hal.archives-ouvertes.fr/hal-02925330/document -
6
المؤلفون: Joseph Muré
مصطلحات موضوعية: Statistics and Probability, Smoothness (probability theory), 05 social sciences, Posterior probability, Mathematics - Statistics Theory, Statistics Theory (math.ST), 01 natural sciences, Marginal likelihood, Exponential function, 62F15 (Primary), 62M30, 60G15 (secondary), 010104 statistics & probability, Correlation function (statistical mechanics), symbols.namesake, 0502 economics and business, Prior probability, FOS: Mathematics, symbols, Applied mathematics, 0101 mathematics, Statistics, Probability and Uncertainty, Gaussian process, 050205 econometrics, Mathematics, Jeffreys prior
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d0062a6ed52145ac87831b7d0b30c18
http://arxiv.org/abs/1805.08992 -
7
-
8
المؤلفون: Julien Bect, David Ginsbourger, Dario Azzimonti, Clément Chevalier
المساهمون: Institute of Mathematical Statistics and Actuarial Science [Bern] (IMSV), University of Bern, Méthodes d'Analyse Stochastique des Codes et Traitements Numériques (GdR MASCOT-NUM), Centre National de la Recherche Scientifique (CNRS), Laboratoire des signaux et systèmes (L2S), Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Institut de Mathématiques (UNINE), Université de Neuchâtel (UNINE), Idiap Research Institute (Idiap), Swiss National Science Foundation: Dario Filippo Azzimonti 146354
المصدر: Azzimonti, Dario Filippo; Bect, Julien; Chevalier, Clément; Ginsbourger, David (2016). Quantifying Uncertainties on Excursion Sets Under a Gaussian Random Field Prior. SIAM/ASA Journal on Uncertainty Quantification, 4(1), pp. 850-874. Society for Industrial and Applied Mathematics 10.1137/141000749 <http://dx.doi.org/10.1137/141000749>
SIAM/ASA Journal on Uncertainty Quantification
SIAM/ASA Journal on Uncertainty Quantification, ASA, American Statistical Association, 2016, 4 (1), pp.850-874. ⟨10.1137/141000749⟩
SIAM/ASA J. Uncertainty Quantificationمصطلحات موضوعية: FOS: Computer and information sciences, Statistics and Probability, Closed set, Computer science, Monte Carlo method, Posterior probability, 0211 other engineering and technologies, Gaussian processes, Machine Learning (stat.ML), Mathematics - Statistics Theory, Statistics Theory (math.ST), 02 engineering and technology, distance transform, Statistics - Computation, 01 natural sciences, Set estimation, Gaussian random field, conditional simulations, 010104 statistics & probability, symbols.namesake, 510 Mathematics, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], Statistics - Machine Learning, 360 Social problems & social services, FOS: Mathematics, Discrete Mathematics and Combinatorics, 0101 mathematics, [STAT.CO]Statistics [stat]/Computation [stat.CO], Gaussian process, Computation (stat.CO), 021103 operations research, Applied Mathematics, Excursion, Modeling and Simulation, symbols, Statistics, Probability and Uncertainty, 62M30, 60G15, Algorithm, Realization (probability)
وصف الملف: application/pdf
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60546ce4891beafbb8410dbaa17018d9
https://boris.unibe.ch/87839/2/1501.03659v2.pdf -
9
المؤلفون: Rui Paulo
المصدر: Ann. Statist. 33, no. 2 (2005), 556-582
مصطلحات موضوعية: Statistics and Probability, Mathematical optimization, reference prior, Maximum likelihood, 62F15 (Primary) 62M30, 60G15 (Secondary), Bayesian probability, frequentist coverage, Mathematics - Statistics Theory, Statistics Theory (math.ST), Jeffreys prior, Field (computer science), Set (abstract data type), symbols.namesake, Frequentist inference, Prior probability, FOS: Mathematics, Gaussian process, Independence (probability theory), Mathematics, posterior propriety, 60G15, symbols, computer model, 62M30, integrated likelihood, 62F15, Statistics, Probability and Uncertainty
وصف الملف: application/pdf
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27d923762da82963f87e3c66e6bd1497
https://doi.org/10.1214/009053604000001264