Minimax rates over Besov spaces in ill-conditioned mixture-models with varying mixing-weights
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Publication:393576
DOI10.1016/J.JSPI.2013.09.008zbMath1279.62029OpenAlexW2004784348MaRDI QIDQ393576
Florent Autin, Christophe Pouet
Publication date: 23 January 2014
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jspi.2013.09.008
Nonparametric hypothesis testing (62G10) Nontrigonometric harmonic analysis involving wavelets and other special systems (42C40) Minimax procedures in statistical decision theory (62C20)
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Asymptotic normality of Kaplan–Meier estimators for mixtures with varying concentrations ⋮ A modified Kaplan–Meier estimator for a model of mixtures with varying concentrations ⋮ Tests of hypotheses on quantiles of distributions of components in a mixture
Cites Work
- Adaptive test on components of densities mixture
- Adaptive hypothesis testing using wavelets
- Empirical likelihood ratio based confidence intervals for mixture proportions
- Asymptotic theory of the likelihood ratio test for the identification of a mixture
- Estimates for distributions of components of mixtures with varying concentrations
- Testing the means of subgroups in the varying mixing weight model
- Nonparametric homogeneity tests
- Statistics of mixtures with varying concentrations with application to DNA microarray data analysis
- Test on components of mixture densities
- Finite mixture models
- Likelihood ratio test for univariate Gaussian mixture
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