TY - JOUR
T1 - Empirical Bayes methods in classical and Bayesian inference
AU - Petrone, Sonia
AU - Rizzelli, Stefano
AU - Rousseau, Judith
AU - Scricciolo, Catia
PY - 2014
Y1 - 2014
N2 - Empirical Bayes methods are often thought of as a bridge between classical and Bayesian inference. In fact, in the literature the term empirical Bayes is used in quite diverse contexts and with different motivations. In this article, we provide a brief overview of empirical Bayes methods highlighting their scopes and meanings in different problems.We focus on recent results about merging of Bayes and empirical Bayes posterior distributions that regard popular, but otherwise debatable, empirical Bayes procedures as computationally convenient approximations of Bayesian solutions.
AB - Empirical Bayes methods are often thought of as a bridge between classical and Bayesian inference. In fact, in the literature the term empirical Bayes is used in quite diverse contexts and with different motivations. In this article, we provide a brief overview of empirical Bayes methods highlighting their scopes and meanings in different problems.We focus on recent results about merging of Bayes and empirical Bayes posterior distributions that regard popular, but otherwise debatable, empirical Bayes procedures as computationally convenient approximations of Bayesian solutions.
KW - Bayesian weak merging
KW - Compound experiments
KW - Frequentist strong merging
KW - Hyper-parameter oracle value
KW - Latent distribution
KW - Maximum marginal likelihood estimation
KW - Shrinkage estimation
KW - Bayesian weak merging
KW - Compound experiments
KW - Frequentist strong merging
KW - Hyper-parameter oracle value
KW - Latent distribution
KW - Maximum marginal likelihood estimation
KW - Shrinkage estimation
UR - http://hdl.handle.net/10807/193632
UR - https://link.springer.com/article/10.1007/s40300-014-0044-1
U2 - 10.1007/s40300-014-0044-1
DO - 10.1007/s40300-014-0044-1
M3 - Article
SN - 0026-1424
VL - 72
SP - 201
EP - 215
JO - Metron
JF - Metron
ER -