Pages that link to "Item:Q2196192"

The following pages link to On the nonparametric maximum likelihood estimator for Gaussian location mixture densities with application to Gaussian denoising (Q2196192):

Displaying 22 items.

• Set-convergence and its application: a tutorial (Q829494) (← links)
• A nonparametric empirical Bayes approach to large-scale multivariate regression (Q830438) (← links)
• Non-parametric likelihood based channel estimator for Gaussian mixture noise (Q971047) (← links)
• Implicit models of Gaussian mixture densities and locally optimum detectors (Q1366512) (← links)
• High-dimensional linear discriminant analysis using nonparametric methods (Q2062785) (← links)
• Generalized maximum likelihood estimation of the mean of parameters of mixtures. With applications to sampling and to observational studies (Q2106786) (← links)
• Randomly initialized EM algorithm for two-component Gaussian mixture achieves near optimality in \(O(\sqrt{n})\) iterations (Q2113265) (← links)
• Minimax bounds for estimating multivariate Gaussian location mixtures (Q2136650) (← links)
• Poisson mean vector estimation with nonparametric maximum likelihood estimation and application to protein domain data (Q2161181) (← links)
• Conditional Expected Likelihood Technique for Compound Gaussian and Gaussian Distributed Noise Mixtures (Q4619690) (← links)
• (Q5146336) (← links)
• Simultaneous estimation of normal means with side information (Q5155201) (← links)
• Uniform consistency in nonparametric mixture models (Q6042350) (← links)
• Optimal estimation of high-dimensional Gaussian location mixtures (Q6046303) (← links)
• Likelihood Maximization and Moment Matching in Low <scp>SNR</scp> Gaussian Mixture Models (Q6049738) (← links)
• A Compound Decision Approach to Covariance Matrix Estimation (Q6055869) (← links)
• Invidious comparisons: ranking and selection as compound decisions (Q6536508) (← links)
• Entropy regularization in probabilistic clustering (Q6580619) (← links)
• High dimensional discriminant rules with shrinkage estimators of the covariance matrix and mean vector (Q6616195) (← links)
• Nonparametric empirical Bayes biomarker imputation and estimation (Q6618385) (← links)
• Learning Gaussian mixtures using the Wasserstein-Fisher-Rao gradient flow (Q6621546) (← links)
• No need for an oracle: the nonparametric maximum likelihood decision in the compound decision problem is minimax (Q6649136) (← links)