Parameter recovery in two-component contamination mixtures: the \(L^2\) strategy
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Publication:2179635
DOI10.1214/19-AIHP1007zbMath1439.62076arXiv1604.00306OpenAlexW3010957157MaRDI QIDQ2179635
Jonas Kahn, Cathy Maugis-Rabusseau, Clément Marteau, Sébastien Gadat
Publication date: 13 May 2020
Published in: Annales de l'Institut Henri Poincaré. Probabilités et Statistiques (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1604.00306
rate of convergenceparameter estimation\( \mathbb{L}^2\) contrasttwo-component contamination mixture model
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Point estimation (62F10)
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Cites Work
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- Bayesian methods for the shape invariant model
- Convergence rates of parameter estimation for some weakly identifiable finite mixtures
- Statistical guarantees for the EM algorithm: from population to sample-based analysis
- SPADES and mixture models
- Inference for mixtures of symmetric distributions
- On the convergence properties of the EM algorithm
- Estimation of the mean of a multivariate normal distribution
- Asymptotics in statistics. Some basic concepts.
- Rates of convergence for the Gaussian mixture sieve.
- Entropies and rates of convergence for maximum likelihood and Bayes estimation for mixtures of normal densities.
- Optimal rate of convergence for finite mixture models
- Adaptive Bayesian density estimation with location-scale mixtures
- Convergence of latent mixing measures in finite and infinite mixture models
- Strong identifiability and optimal minimax rates for finite mixture estimation
- Estimation and confidence sets for sparse normal mixtures
- Semiparametric estimation of a two-component mixture model
- Finite mixture and Markov switching models.
- Optimal Detection of Heterogeneous and Heteroscedastic Mixtures
- A non asymptotic penalized criterion for Gaussian mixture model selection
- Estimation of a Two-component Mixture Model with Applications to Multiple Testing
- Adaptive density estimation for clustering with Gaussian mixtures
- Semiparametric Mixtures of Symmetric Distributions
- Robust Estimation of a Location Parameter
- Non-asymptotic detection of two-component mixtures with unknown means
- On strong identifiability and convergence rates of parameter estimation in finite mixtures
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