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We consider, in a Bayesian framework, the model Wₜ = Bₜ + θ (t - ν)⁺, where B is a standard Brownian motion, θ is arbitrary but known and ν is the unknown change-point. We transfer the construction of Ritov to this continuous time setup and show that the corresponding Bayes problems can be reduced to generalized parking problems.
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Martin Beibel (1996) studied this question.
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