Abstract
With the passage of time or circumstance, probability distributions change; and as they do so, the allocation of entropic complexity likewise changes. The present chapter develops a systematic way of modelling such developments, with partition entropy as the organising framework. This leads to unit left and right entropic shifts, enabling a calculus of partial left and right shifts, concentrators and spreaders. Applications include data smoothing and end correction, social dynamics of opinions, and financial risk management.
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Bowden, R. (2018). Entropic Shifting Perspectives and Applications. In: The Information Theory of Comparisons. Springer, Singapore. https://doi.org/10.1007/978-981-13-1550-3_2
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DOI: https://doi.org/10.1007/978-981-13-1550-3_2
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