We extend Doob’s well-known result on Bayesian consistency. The extension covers the case where the nonparametric prior is fully supported by densities. However, our use of martingales differs from that of Doob. We also consider rates.

Extending Doob's consistency theorem to nonparametric densities

PRUENSTER, Igor;
2004-01-01

Abstract

We extend Doob’s well-known result on Bayesian consistency. The extension covers the case where the nonparametric prior is fully supported by densities. However, our use of martingales differs from that of Doob. We also consider rates.
2004
10
651
663
http://isi.cbs.nl/bernoulli/
consistency; Hellinger distance; martingale; rate of convergence
A. LIJOI; I. PRUENSTER; S.G. WALKER
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/8528
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