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Date: 2018
Language: eng
Resource Type: Thesis MRes
Identifier: http://hdl.handle.net/1959.14/1267058
Description: Empirical thesis.
Full Text: Full Text
Date: 2016
Language: eng
Resource Type: journal article
Identifier: http://hdl.handle.net/1959.14/1063716
Description: This article proposes an infinite hidden Markov model (iHMM) to detect, date stamp, and estimate speculative bubbles. Three features make this new approach attractive to practitioners. First, the iHMM ... More
Reviewed: Reviewed
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