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
No coin nor oath required. For personal study only.
✦ 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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