[PDF] Top 20 Adaptive nonparametric estimation of a component density in a two-class mixture model
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Adaptive nonparametric estimation of a component density in a two-class mixture model
... setting of multiple testing, the estimation of f in model ( 1 ) has been addressed in several ...proposed a Grenander density estimator for f , based on a ... Voir le document complet
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Adaptive nonparametric estimation of a component density in a two-class mixture model
... Abstract A two-class mixture model, where the density of one of the components is known, is ...issue of the nonparametric adaptive ... Voir le document complet
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Nonparametric estimation of the mixing density using polynomials
... NONPARAMETRIC ESTIMATION OF THE MIXING DENSITY USING POLYNOMIALS TABEA REBAFKA, FRANÇOIS ROUEFF A BSTRACT We consider the problem of estimating the mixing density f from ... Voir le document complet
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Adaptive Density Estimation for Generative Models
... 2: Model refinements. Table 3 compares our model to existing hybrid approaches and state-of-the-art generative models on ...CIFAR-10. In the category of hybrid models that define ... Voir le document complet
25
Nonparametric adaptive estimation for pure jump Lévy processes.
... with nonparametric estimation of the L´evy density of a pure jump L´evy ...construct a collection of estimators obtained by deconvolution methods and deduced from ... Voir le document complet
24
A Sequential Nonparametric Two-Sample Test
... Un Test Non-paramétrique d’Homogénéité Séquentiel Résumé : Étant données deux populations d’échantillons issues de deux distributions, un test non-paramétrique d’homogénéité a pour objectif de déterminer, à ... Voir le document complet
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Nonparametric estimation of covariance functions by model selection
... obtained a model selection procedure which enables to recover the best covariance model among a given ...process, in particular stationarity is not assumed, but at the expend of ... Voir le document complet
35
New adaptive strategies for nonparametric estimation in linear mixed models
... existing nonparametric strategies for the estimation of ...0 model (1) writes Yk,0 = αk + ǫk,0 which is a standard convolution ...observations. A Mean Integrated Squared Error ... Voir le document complet
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Nonparametric estimation of the mark density of Exponential Shot-Noise
... rate of convergence depends on the smoothness of the mark distribution • The distribution F X of X 0 is regularly varying at 0 with index λ/α ,→ One can use Hill’s estimator to estimate λ/α • When ... Voir le document complet
2
Adaptive density estimation under dependence
... quartile of the empirical distribution) and secondly we consider the width obtained by cross validation on the mean integrated squared error ...risk. In Figure 5 are represented the means of wavelet ... Voir le document complet
30
Bayesian nonparametric estimation of the spectral density of a long or intermediate memory Gaussian process
... not of great practical ...state a result involving distances between spectral densities that might be more useful, we need to consider some specific class of ...priors. In the next ... Voir le document complet
34
Rates of convergence for the posterior distributions of mixtures of Betas and adaptive nonparametric estimation of the density
... to a log n term) for any β > 0 by choosing carefully the rate at which α increases with n, ...α a dirac mass on some sequence α n . Rather than such a deterministic choice of α it is usual ... Voir le document complet
39
A Nonparametric Goodness-of-fit Test for a Class of Parametric Autoregressive Models
... Unit´e de recherche INRIA Lorraine, Technopˆole de Nancy-Brabois, Campus scientifique, ` NANCY 615 rue du Jardin Botanique, BP 101, 54600 VILLERS LES Unit´e de recherche INRIA Rennes, Ir[r] ... Voir le document complet
26
A nonparametric method for penetrance function estimation.
... Abstract In diseases caused by a deleterious gene mutation, knowledge of age-specific cumulative risks is necessary for medical management of mutation ...using a parametric method such ... Voir le document complet
23
Asymptotic normality of the mixture density estimator in a disaggregation scheme
... values in cases 1–3. Box plots in Figure 1 show that ˆ ϕ n approximates the mixture density well when n is sufficiently ...the mixture density of the shape as in ... Voir le document complet
28
Adaptive robust estimation in sparse vector model
... vector model, we consider estimation of the target vector, of its ` 2 -norm and of the noise ...struct adaptive estimators and establish the optimal rates of ... Voir le document complet
43
A Class of Two-Group Polarization Measures
... is a phenomenon that has attracted an increasing amount of attention recently, both in Economics and in other social ...that, in the context of income distributions, polarization ... Voir le document complet
23
Adaptive robust estimation in sparse vector model
... vector model, we consider estimation of the target vector, of its ℓ 2 -norm and of the noise ...struct adaptive estimators and establish the optimal rates of ... Voir le document complet
33
Goodness-of-fit tests and nonparametric adaptive estimation for spike train analysis
... consider a smoother wavelet basis, but this extension does not completely address the ...for a significant period of time, is due to Willett and Nowak ...Informally, a penalized log-likelihood ... Voir le document complet
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NEARBY OPEN CLUSTERS SHAPE : THREE-DIMENSIONAL GAUSSIAN MIXTURE MODEL AND TWO-DIMENSIONAL DENSITY MAPS
... Example of the fit of two Gaussians on the spatial distribution of Platais 3 ...probability of each star. Right: Density maps with contours computed for BH99, NGC7058, RSG1 and ... Voir le document complet
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