Limit theorems for additive learning models
โ Scribed by M.Frank Norman
- Publisher
- Elsevier Science
- Year
- 1970
- Tongue
- English
- Weight
- 590 KB
- Volume
- 7
- Category
- Article
- ISSN
- 0022-2496
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Central and local limit theorems (including large deviations) are established for the number of comparisons used by the standard top-down recursive mergesort under the uniform permutation model. The method of proof utilizes Dirichlet series, Mellin transforms, and standard analytic methods in probab
Let [X n ] n=1 be a sequence of free, identically distributed random variables with common distribution +. Then there exist sequences [B n ] n=1 and [A n ] n=1 of positive and real numbers, respectively, such that sequence of random variables converges in distribution to the semicircle law if and o