Pages that link to "Item:Q2388976"

The following pages link to General maximum likelihood empirical Bayes estimation of normal means (Q2388976):

Displaying 50 items.

• A Fast Algorithm for Maximum Likelihood Estimation of Mixture Proportions Using Sequential Quadratic Programming (Q89288) (← links)
• Two modeling strategies for empirical Bayes estimation (Q257697) (← links)
• Optimal shrinkage estimation of mean parameters in family of distributions with quadratic variance (Q282454) (← links)
• A nonparametric empirical Bayes approach to adaptive minimax estimation (Q391864) (← links)
• Adaptive nonparametric empirical Bayes estimation via wavelet series: the minimax study (Q394771) (← links)
• Asymptotically minimax empirical Bayes estimation of a sparse normal mean vector (Q470502) (← links)
• The horseshoe estimator: posterior concentration around nearly black vectors (Q485913) (← links)
• A nonparametric empirical Bayes approach to large-scale multivariate regression (Q830438) (← links)
• On the normalized maximum likelihood and Bayesian decision theory (Q867987) (← links)
• A deconvolution path for mixtures (Q1639196) (← links)
• Simultaneous estimation based on empirical likelihood and general maximum likelihood estimation (Q1662032) (← links)
• Approximate nonparametric maximum likelihood for mixture models: a convex optimization approach to fitting arbitrary multivariate mixing distributions (Q1662317) (← links)
• Empirical Bayes analysis of spike and slab posterior distributions (Q1711560) (← links)
• On regularized general empirical Bayes estimation of normal means (Q1931851) (← links)
• Needles and straw in a haystack: posterior concentration for possibly sparse sequences (Q1940767) (← links)
• Empirical Bayes scaling of Gaussian priors in the white noise model (Q1951145) (← links)
• A survey of nonparametric mixing density estimation via the predictive recursion algorithm (Q2040663) (← links)
• High-dimensional linear discriminant analysis using nonparametric methods (Q2062785) (← links)
• A computationally efficient approach to estimating species richness and rarefaction curve (Q2095722) (← links)
• Generalized maximum likelihood estimation of the mean of parameters of mixtures. With applications to sampling and to observational studies (Q2106786) (← 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)
• On general maximum likelihood empirical Bayes estimation of heteroscedastic IID normal means (Q2188477) (← links)
• Statistical theory powering data science (Q2194583) (← links)
• On the nonparametric maximum likelihood estimator for Gaussian location mixture densities with application to Gaussian denoising (Q2196192) (← links)
• Empirical priors and coverage of posterior credible sets in a sparse normal mean model (Q2206756) (← links)
• On spike and slab empirical Bayes multiple testing (Q2215749) (← links)
• Spike and slab empirical Bayes sparse credible sets (Q2278657) (← links)
• Generalized Bayesian shrinkage and wavelet estimation of location parameter for spherical distribution under balance-type loss: minimaxity and admissibility (Q2306270) (← links)
• Rate of divergence of the nonparametric likelihood ratio test for Gaussian mixtures (Q2325376) (← links)
• Nonparametric empirical Bayes improvement of shrinkage estimators with applications to time series (Q2325380) (← links)
• Bayes, oracle Bayes and empirical Bayes (Q2325626) (← links)
• Comment: Minimalist \(g\)-modeling (Q2325628) (← links)
• Comment: ``Bayes, oracle Bayes and empirical Bayes'' (Q2325629) (← links)
• Comment: Empirical Bayes interval estimation (Q2325630) (← links)
• Comment: Empirical Bayes, compound decisions and exchangeability (Q2325631) (← links)
• Comment: Variational autoencoders as empirical Bayes (Q2325632) (← links)
• Rejoinder: ``Bayes, oracle Bayes, and empirical Bayes'' (Q2325633) (← links)
• Nonparametric empirical Bayes and compound decision approaches to estimation of a high-dimensional vector of normal means (Q2388977) (← links)
• Estimating the mean and variance of a high-dimensional normal distribution using a mixture prior (Q2419159) (← links)
• A guided random walk through some high dimensional problems (Q2431011) (← links)
• Deconvolution for an atomic distribution: rates of convergence (Q3106439) (← links)
• (Q4352622) (← links)
• TESTING FOR HOMOGENEITY IN MIXTURE MODELS (Q4569586) (← links)
• SURE Estimates for a Heteroscedastic Hierarchical Model (Q4904724) (← links)
• Group-Linear Empirical Bayes Estimates for a Heteroscedastic Normal Mean (Q4962437) (← links)
• SURE estimates for high dimensional classification (Q4970345) (← links)
• Convex Optimization, Shape Constraints, Compound Decisions, and Empirical Bayes Rules (Q4975408) (← links)
• Meta-Analysis With Fixed, Unknown, Study-Specific Parameters (Q4975635) (← links)
• (Q4986381) (← links)