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An urn model from learning theory

✍ Scribed by Stéphane Boucheron; Danièle Gardy

Publisher
John Wiley and Sons
Year
1997
Tongue
English
Weight
256 KB
Volume
10
Category
Article
ISSN
1042-9832

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✦ Synopsis

We present an urn model that is a variation of the classical occupancy model,

Ž

. and in which the balls are of two types good and bad . We analyze the number of urns that Ž . contain more or fewer good balls than bad balls. We find Gaussian limiting distributions in the static case and convergence of the finite-dimensional distributions towards those of a Gaussian, non-Markov process in the dynamic case.

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