Computer Science – Information Theory
Scientific paper
2011-04-12
Computer Science
Information Theory
submitted
Scientific paper
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 some geophysical and economical
time series as examples, we show that the precision of thus obtained
predictions is higher than that of known methods.
Pristavka Pavel
Ryabko Boris
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