Test to distinguish a Brownian motion from a Brownian bridge using Polya tree process

Karthik Bharath and Dipak K. Dey

Statistics & Probability Letters, 2011, vol. 81, issue 1, 140-145

Abstract: The problem of distinguishing a Brownian bridge from a Brownian motion, both with possible drift, on the closed unit interval, is investigated via a pair of hypothesis tests. The first, tests for observations obtained at n discrete time points to be arising from a Brownian bridge with drift by embedding the Brownian bridge into a mixture of Polya trees which represents the non-parametric alternative. The second test, tests in an identical manner, for the observations to be coming from a Brownian motion with drift. The Bayes factors for the two tests are derived and then combined to obtain the Bayes factor for the test to distinguish between the two Gaussian processes. The Tierney-Kadane approximation of the Bayes factor is derived with an error approximation of order O(n-4).

Keywords: Bayes; factor; Non-subjective; prior; Non-parametric; Bayes; Tierney-Kadane; approximation (search for similar items in EconPapers)
Date: 2011
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Citations: View citations in EconPapers (3)

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