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The problem of disorder seeks to determine a stopping time which is as close as possible to the unknown time of “disorder ” when the observed process changes its probability characteristics. We give a partial answer to this question for some special cases of Lévy processes and present a complete solution of the Bayesian and variational problem for a compound Poisson process with exponential jumps. The method of proof is based on reducing the Bayesian problem to an integro-differential free-boundary problem where, in some cases, the smooth-fit principle breaks down and is replaced by the principle of continuous fit.
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Stored only when both papers are in the corpus — 26 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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