DMTCS Proceedings, 2005 International Conference on Analysis of Algorithms

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Application of data compression methods to hypothesis testing for ergodic and stationary processes

Boris Ryabko, Jaakko Astola


We show that data compression methods (or universal codes) can be applied for hypotheses testing in a framework of classical mathematical statistics. Namely, we describe tests, which are based on data compression methods, for the three following problems: i) identity testing, ii) testing for independence and iii) testing of serial independence for time series. Applying our method of identity testing to pseudorandom number generators, we obtained experimental results which show that the suggested tests are quite efficient.

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