© 1976 by Biometrika Trust
On posterior joint and marginal modes
Department of Mathematics, University of Dundee
* Now at Department of Statistics, University of Waewick, Coventry.
Posterior joint modes have often been used as point estimators in Bayesian applications to avoid laborious numerical integration of complicated posterior densities. We present methods facilitating the straightforward computation of posterior marginal modes in a wide variety of models, and discuss whether marginal modes provide better approximations than joint modes to the posterior means.
Key Words: Bayee estimation Exchangeable regression Growth curves Inverse Wishart distribution Posterior mode
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