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A Limit Theorem for the Prediction Process under Absolute Continuity

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Author Info
Hideatsu Tsukahara
Abstract

Consider a stochastic process with two probability laws, one of which is absolutely continuous with respect to the other. Under each law, we look at a process consisting of the conditional distributions of the future given the past. Blackwell and Dubins (1962) showed in discrete case that those conditional distributions merge as we observe more and more; more precisely, the total variation distance between them converges to 0 a.s. In this paper we prove its extension to continuous time case using the prediction process of F. B. Knight.

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Paper provided by CIRJE, Faculty of Economics, University of Tokyo in its series CIRJE F-Series with number 97-F-34.

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Length: 8 pages
Date of creation: Oct 1997
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Handle: RePEc:tky:fseres:97f34

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