Empirical Bayes Mean Estimation With Nonparametric Errors Via Order Statistic Regression on Replicated Data
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Publication:6165286
DOI10.1080/01621459.2021.1967164arXiv1911.05970OpenAlexW3195734807MaRDI QIDQ6165286
Omkar Muralidharan, Sujayam Saha, Dennis L. Sun, Nikolaos Ignatiadis
Publication date: 4 July 2023
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1911.05970
Cites Work
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- On linear estimates defined by a continuous weight function
- Some thoughts on empirical Bayes estimation
- The jackknife estimate of variance
- Consistent nonparametric regression. Discussion
- Conjugate priors for exponential families
- Inference in components of variance models with low replication
- The 1988 Neyman Memorial Lecture: A Galtonian perspective on shrinkage estimators
- Big and complex data analysis. Methodologies and applications
- Nonparametric shape-restricted regression
- A distribution-free theory of nonparametric regression
- Empirical simulation extrapolation for measurement error models with replicate measurements.
- On the nonparametric maximum likelihood estimator for Gaussian location mixture densities with application to Gaussian denoising
- Least squares estimation in the monotone single index model
- 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
- Deconvolution from panel data with unknown error distribution
- Compound \(p\)-value statistics for multiple testing procedures
- Small Area Estimation
- Julia: A Fresh Approach to Numerical Computing
- Consistency of the Maximum Likelihood Estimator in the Presence of Infinitely Many Incidental Parameters
- Non-Parametric Empirical Bayes Procedures
- From Fixed-X to Random-X Regression: Bias-Variance Decompositions, Covariance Penalties, and Prediction Error Estimation
- Empirical Bayes credibility
- A note on data-splitting for the evaluation of significance levels
- ALIGNING OF ESTIMATES: AN ALTERNATIVE TO EMPIRICAL BAYES METHODS
- Optimal linear estimators of location and scale parameters using order statistics and related empirical Bayes estimation
- Asymptotic Statistics
- Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments
- High-dimensional regression adjustments in randomized experiments
- Semiparametric Estimation of Regression Models for Panel Data
- SURE Estimates for a Heteroscedastic Hierarchical Model
- Group-Linear Empirical Bayes Estimates for a Heteroscedastic Normal Mean
- Convex Optimization, Shape Constraints, Compound Decisions, and Empirical Bayes Rules
- Local Linear Forests
- Kernel estimation for panel data with heterogeneous dynamics
- Covariate Powered Cross-Weighted Multiple Testing
- Double/debiased machine learning for treatment and structural parameters
- Adaptive Sparse Estimation With Side Information
- Stein's Estimation Rule and Its Competitors--An Empirical Bayes Approach
- A Method to Increase the Power of Multiple Testing Procedures Through Sample Splitting
- Estimation of Nonlinear Models with Measurement Error
- The Empirical Bayes Approach to Statistical Decision Problems
- Asymptotic Distribution of Linear Combinations of Functions of Order Statistics with Applications to Estimation
- Optimal linear estimators: an empirical Bayes version with application to the binomial distribution
- A supplementary sample non-parametric empirical Bayes approach to some statistical decision problems
- Steinized Empirical Bayes Estimation for Heteroscedastic Data
- A Class of Statistics with Asymptotically Normal Distribution
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