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Experimental investigation of the efficiency of universal measures based forecasting methods
We describe and experimentally investigate a method to construct forecasting algorithms for stationary and ergodic processes based on universal measures (or so-called universal data compressors). Using the time series of solar activity indices as a research target, we show that the quality of the pr...
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Main Authors: | , |
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Format: | Conference Proceeding |
Language: | English |
Subjects: | |
Online Access: | Request full text |
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Summary: | We describe and experimentally investigate a method to construct forecasting algorithms for stationary and ergodic processes based on universal measures (or so-called universal data compressors). Using the time series of solar activity indices as a research target, we show that the quality of the predictions is higher than that of known methods forecasts. |
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DOI: | 10.1109/RED.2012.6338409 |