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Not all data are written in an alphabet of four symbols. Can we adapt the driven IFS method to study a wider variety of data, daily closing stock prices, for example? The answer is yes. As a first step, we must coarse-grain the data. |
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First, here are some examples using mathematical data. From these we can gain familiarity with some of the visual signatures of different time patterns in the data. |
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Here are some examples of student projects using financial data. |
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Here are some examples of student projects using texts. |
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Here are some examples of sequences of proteins ordered by molecular weight. |
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Here are some examples of sequences of intervals between heartbeats. |
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Finally, here we interpret some of these examples to try to estimate the depth of history of the underlying processes. |
Return to Driven IFS.