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Entropy-based independence test
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DOI：10.1007/s11071-006-2019-0.png)
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Abstract
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This paper presents a new test of independence (linear and non-linear) among distributions based on the entropy of Shannon. The main advantages of the presented approach are the fact that this measure does not need to assume any type of theoretical probability distribution and has the ability to capture the linear and non-linear dependencies, without requiring the specification of any kind of dependence model.
Keywords:
entropy
independence test
mutual information
non-linear serial dependence
stock index markets
Journal
IF:
6
Papers:
1.4W
Citations:
4.1W
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