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Showing results 1 to 20 of 27
  Estimating the number of infected personsBaraud, Yannick  ; Nourdin, Ivan ; Peccati, Giovanni E-print/Working paper (2020) The aim of this paper is to provide a confidence interval on the number of infected persons by COVID-19 within the population from the number of deaths reported in the hospitals and the mortality rate ... [more ▼] The aim of this paper is to provide a confidence interval on the number of infected persons by COVID-19 within the population from the number of deaths reported in the hospitals and the mortality rate (that is assumed to be known). [less ▲] Detailed reference viewed: 106 (13 UL)TESTS AND ESTIMATION STRATEGIES ASSOCIATED TO SOME LOSS FUNCTIONSBaraud, Yannick E-print/Working paper (2020) Detailed reference viewed: 89 (13 UL) ROBUST BAYES-LIKE ESTIMATION: RHO-BAYES ESTIMATIONBaraud, Yannick ; in Annals of Statistics (2020) Detailed reference viewed: 87 (18 UL)Can we trust L2-criteria and L2-losses?Baraud, Yannick in Journal de la Société Française de Statistique (2019), 160(3), Detailed reference viewed: 102 (17 UL)Rho-estimators revisited: general theory and applicationsBaraud, Yannick ; in Ann. Statist. (2018), 46(6B), 3767--3804 Detailed reference viewed: 127 (20 UL)Une alternative robuste au maximum de vraisemblance: la $\rho$-estimationBaraud, Yannick ; in J. SFdS (2017), 158(3), 1--26 Detailed reference viewed: 43 (8 UL)A new method for estimation and model selection: $\rho$-estimationBaraud, Yannick ; ; in Invent. Math. (2017), 207(2), 425--517 Detailed reference viewed: 161 (18 UL)Bounding the expectation of the supremum of an empirical process over a (weak) VC-major classBaraud, Yannick in Electron. J. Stat. (2016), 10(2), 1709--1728 Detailed reference viewed: 55 (1 UL)Rho-estimators for shape restricted density estimationBaraud, Yannick ; in Stochastic Process. Appl. (2016), 126(12), 3888--3912 Detailed reference viewed: 59 (7 UL)Estimator selection in the Gaussian settingBaraud, Yannick ; ; in Ann. Inst. Henri Poincaré Probab. Stat. (2014), 50(3), 1092--1119 Detailed reference viewed: 52 (3 UL)Estimating composite functions by model selectionBaraud, Yannick ; in Ann. Inst. Henri Poincaré Probab. Stat. (2014), 50(1), 285--314 Detailed reference viewed: 46 (1 UL)Estimation of the density of a determinantal processBaraud, Yannick in Confluentes Math. (2013), 5(1), 3--21 Detailed reference viewed: 50 (3 UL)Estimator selection with respect to Hellinger-type risksBaraud, Yannick in Probab. Theory Related Fields (2011), 151(1-2), 353--401 Detailed reference viewed: 46 (3 UL)A Bernstein-type inequality for suprema of random processes with applications to model selection in non-Gaussian regressionBaraud, Yannick in Bernoulli (2010), 16(4), 1064--1085 Detailed reference viewed: 75 (2 UL)Gaussian model selection with an unknown varianceBaraud, Yannick ; ; in Ann. Statist. (2009), 37(2), 630--672 Detailed reference viewed: 45 (3 UL)Estimating the intensity of a random measure by histogram type estimatorsBaraud, Yannick ; in Probab. Theory Related Fields (2009), 143(1-2), 239--284 Detailed reference viewed: 61 (1 UL)Testing convex hypotheses on the mean of a Gaussian vector. Application to testing qualitative hypotheses on a regression functionBaraud, Yannick ; ; in Ann. Statist. (2005), 33(1), 214--257 Detailed reference viewed: 53 (2 UL)Confidence balls in Gaussian regressionBaraud, Yannick in Ann. Statist. (2004), 32(2), 528--551 Detailed reference viewed: 62 (0 UL) Adaptive tests of qualitative hypothesesBaraud, Yannick ; ; in ESAIM Probab. Stat. (2003), 7 Detailed reference viewed: 34 (0 UL)Adaptive tests of linear hypotheses by model selectionBaraud, Yannick ; ; in Ann. Statist. (2003), 31(1), 225--251 Detailed reference viewed: 49 (1 UL)
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