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Test of agreement between two multidimensional empirical distributions

✍ Scribed by Lluís Garrido; Vicens Gaitan; Miguel Serra-Ricart


Publisher
Elsevier Science
Year
1994
Tongue
English
Weight
719 KB
Volume
84
Category
Article
ISSN
0010-4655

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✦ Synopsis


We present a method to test the agreement between two multidimensional empirical distributions which is not restricted to work with projections in fewer dimensions due to the lack of data, and with the relevant fact that it is free of binning. The method, which can be successfully implemented on layered neural nets, gives a lower bound value on any estimator that measures the inconsistency between the two distributions.


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