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Empirical Bayes method
Efficient Empirical Bayes Variable Selection and Estimation in Linear
Bayes and Empirical-Bayes Multiplicity Adjustment in the Variable-Selection Problem
Approximate Empirical Bayes for Deep Neural Networks
Empirical Bayes Least Squares Estimation Without an Explicit Prior
Nonparametric Empirical Bayes for the Dirichlet Process Mixture Model
The Empirical Bayes Estimation of an Instantaneous Spike Rate with a Gaussian Process Prior
Empirical Bayes Posterior Concentration in Sparse High
Confidence Distributions and Empirical Bayes Posterior Distributions Unified As Distributions of Evidential Support David R
Objective Priors in the Empirical Bayes Framework Arxiv:1612.00064V5 [Stat.ME] 11 May 2020
Empirical Bayes Regression Analysis with Many Regressors but Fewer Observations
Application of GIS for Urban Traffic Accidents: a Critical Review
Bayesian Variable Selection Using an Adaptive Powered Correlation Prior
Empirical Priors and Posterior Concentration in a Piecewise Polynomial Sequence Model
Fast and Scalable Non-Parametric Bayesian Inference for Poisson Point Processes
Performing Network Level Crash Evaluation Using Skid Resistance
An Empirical Bayes Approach to Identification of Modules in Dynamic
Empirical Bayes, SURE and Sparse Normal Mean Models
Rank-Based Tempo-Spatial Clustering: a Framework for Rapid Outbreak Detection Using Single Or Multiple Data Streams
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Topics in Empirical Bayesian Analysis Robert Christian Foster Iowa State University
Bayesian Shrinkage Methods for High-Dimensional Regression
Bayesian Inference in Extremes Using the Four-Parameter Kappa Distribution
The Empirical Bayes Estimators of the Mean and Variance Parameters Of
Bayesian and Empirical Bayes Approaches to Power Law Process and Microarray Analysis Zhao Chen University of South Florida
The Performance of Predictive Classification Using Empirical Bayes
Empirical Priors for Prediction in Sparse High-Dimensional Linear Regression∗
Empirical Bayes Methodology for Estimating Equipment Failure Rates with Application to Power Generation Plants
Empirical Bayes Oracle Uncertainty Quantification for Regression
Empirical Priors for Prediction in Sparse High-Dimensional Linear Regression
A Mixture Model Approach to Empirical Bayes Testing and Estimation a Dissertation Submitted to the Department of Statistics
A Gis-Based Bayesian Approach for Analyzing Spatial
An Empirical Bayes Mixture Method for Effect Size and False
Empirical Bayes, Bayes Factors and Deoxyribonucleic Acid Fingerprinting
Comparison of Full and Empirical Bayes Approaches for Inferring