Generalized maximum likelihood estimation of the mean of parameters of mixtures. With applications to sampling and to observational studies
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Publication:2106786
DOI10.1214/22-EJS2082MaRDI QIDQ2106786
Eitan Greenshtein, Ya'acov Ritov
Publication date: 19 December 2022
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2107.09296
Cites Work
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- Two modeling strategies for empirical Bayes estimation
- On the optimal rates of convergence for nonparametric deconvolution problems
- Renormalization exponents and optimal pointwise rates of convergence
- Incidental versus random nuisance parameters
- Approximate nonparametric maximum likelihood for mixture models: a convex optimization approach to fitting arbitrary multivariate mixing distributions
- Consistency of the MLE under mixture models
- Strong identifiability and optimal minimax rates for finite mixture estimation
- On the nonparametric maximum likelihood estimator for Gaussian location mixture densities with application to Gaussian denoising
- Estimation of sums of random variables: examples and information bounds
- General maximum likelihood empirical Bayes estimation of normal means
- Nonparametric empirical Bayes and compound decision approaches to estimation of a high-dimensional vector of normal means
- Consistency of the Maximum Likelihood Estimator in the Presence of Infinitely Many Incidental Parameters
- Mixed Poisson Distributions
- Nonparametric Maximum Likelihood Estimation of a Mixing Distribution
- Application of non-parametric empirical Bayes to treatment of non-response
- Convex Optimization, Shape Constraints, Compound Decisions, and Empirical Bayes Rules
- The Empirical Bayes Approach to Statistical Decision Problems
- Confidence Intervals for Nonparametric Empirical Bayes Analysis