Information-theoretic multi-time-scale partially observable systems with inspiration from leukemia treatment

Emily Jensen; Laurent Lessard; Margaret P. Chapman; Steven M. Chan

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Information-theoretic multi-time-scale partially observable systems with inspiration from leukemia treatment

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arxiv 2204.12604 v2 pith:ML5WU7BQ submitted 2022-04-26 eess.SY cs.SY

Margaret P. Chapman , Emily Jensen , Steven M. Chan , Laurent Lessard This is my paper · ORCID

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keywords leukemiaobservablepartiallydiseasedistinctgiveninformation-theoreticinspiration

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We study a partially observable nonlinear stochastic system with unknown parameters, where the given time scales of the states and measurements may be distinct. The proposed setting is inspired by disease management, particularly leukemia.

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