The prior distribution of a random measure

Volume 46 / 2019

Nguyen Bac-Van Applicationes Mathematicae 46 (2019), 39-52 MSC: Primary 60G57; Secondary 60G09, 62A15. DOI: 10.4064/am2362-7-2018 Published online: 22 February 2019

Abstract

It is known that an infinite, exchangeable sequence of observations from a Borel space, in particular a Polish one, is underlain by an almost surely (a.s.) unique random probability measure on this space such that, conditioned on it, the observations are independent and identically distributed with that measure. The distribution of that random measure is the prior distribution involved in Bayes inference. The present paper proves that the prior distribution of the a.s. unique random measure underlying an infinite, exchangeable sequence of observations from a Polish space is a Radon probability measure on the $\sigma $-field generated by the narrow topology in the space of Borel probability measures on the starting Polish space.

Authors

  • Nguyen Bac-VanDepartment of Statistics
    VNUHCM-University of Science
    227 Nguyen-Van-Cu Q5
    Ho Chi Minh City, Vietnam
    e-mail

Search for IMPAN publications

Query phrase too short. Type at least 4 characters.

Rewrite code from the image

Reload image

Reload image