On the empirical Bayesian approach for the Poisson-Gaussian model
type: Item
instance of: scholarly article
title: On the empirical Bayesian approach for the Poisson-Gaussian model
zbMATH Open document ID: 1187.62009
published in: Methodology and Computing in Applied Probability
publication date: 2010-05-28T00:00:00Z
Mathematics Subject Classification ID: 62C12
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 62N02
Mathematics Subject Classification ID: 62P10
Mathematics Subject Classification ID: 65C60
zbMATH DE Number: 5713410
zbMATH Keywords: empirical Bayesian
zbMATH Keywords: maximal likelihood
zbMATH Keywords: clustering
zbMATH Keywords: Poisson-Gaussian model
author: Leonidas Sakalauskas
MaRDI profile type: Publication
full work available at URL: s11009-009-9146-2
OpenAlex ID: W2023259442
cites work: Bayes and empirical Bayes methods for data analysis.
cites work: Q4868581
cites work: A Bayesian analysis for estimating the number of species in a population using nonhomogeneous Poisson process
cites work: Empirical Bayes estimation smoothing of relative risks in disease mapping
DOI: 10.1007/S11009-009-9146-2
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description: scientific article; zbMATH DE number 5713410