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In this study, we address the issue of tracking changes in statistical models under the assumption that the statistical models used for generating data may change over time. This issue is of great importance for learning from non-stationary data. One of the promising approaches for resolving this issue is the use of the dynamic model selection (DMS) method, in which a model sequence is estimated on...
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