Simultaneous estimation based on empirical likelihood and general maximum likelihood estimation
From MaRDI portal
Publication:1662032
DOI10.1016/j.csda.2017.08.003zbMath1469.62126OpenAlexW2744416649MaRDI QIDQ1662032
Publication date: 17 August 2018
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2017.08.003
Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Empirical decision procedures; empirical Bayes procedures (62C12)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Shrinkage estimator in normal mean vector estimation based on conditional maximum likelihood estimators
- Estimating the mean of high valued observations in high dimensions
- Empirical likelihood ratio confidence regions
- Some thoughts on empirical Bayes estimation
- Empirical likelihood for linear models
- Needles and straw in haystacks: Empirical Bayes estimates of possibly sparse sequences
- 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
- Nonparametric empirical Bayes estimator in simultaneous estimation of Poisson means with application to mass spectrometry data
- Adapting to Unknown Smoothness via Wavelet Shrinkage
- Empirical likelihood ratio confidence intervals for a single functional
- Nonparametric Maximum Likelihood Estimation of a Mixing Distribution
- Ideal spatial adaptation by wavelet shrinkage
- Empirical Bayes Analysis of a Microarray Experiment
- SURE Estimates for a Heteroscedastic Hierarchical Model
- Convex Optimization, Shape Constraints, Compound Decisions, and Empirical Bayes Rules
- Linear empirical Bayes estimation of means and variances.
- Empirical Bayes Estimates for Large-Scale Prediction Problems
- The Poisson Compound Decision Problem Revisited
- Empirical Bayes Estimation of a Sparse Vector of Gene Expression Changes
- All of Nonparametric Statistics
This page was built for publication: Simultaneous estimation based on empirical likelihood and general maximum likelihood estimation