On the empirical Bayesian approach for the Poisson-Gaussian model

DOI10.1007/S11009-009-9146-2zbMath1187.62009OpenAlexW2023259442MaRDI QIDQ973031

Leonidas L. Sakalauskas

Publication date: 28 May 2010

Published in: Methodology and Computing in Applied Probability (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11009-009-9146-2

zbMATH Keywords

clusteringempirical Bayesianmaximal likelihoodPoisson-Gaussian model

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02) Empirical decision procedures; empirical Bayes procedures (62C12)

Related Items (1)

Note on the singularity of the Poisson-gamma model

Cites Work

• A Bayesian analysis for estimating the number of species in a population using nonhomogeneous Poisson process
• Empirical Bayes estimation smoothing of relative risks in disease mapping
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