Strong law of large numbers for U-statistics of varying order
✍ Scribed by Grzegorz Rempała
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 322 KB
- Volume
- 39
- Category
- Article
- ISSN
- 0167-7152
No coin nor oath required. For personal study only.
✦ Synopsis
Let U m be a U-statistic of order m based on n i.i.d, real random variables. Suppose that m = m(n) changes with n as n--+ cx~. In this work we are concerned with establishing the strong consistency properties for U~ under linear norming. The results are obtained by generalizing the SLLN for arrays of rowwise independent random variables (Hu et al., 1989) to the case of rowwise martingale differences and applying standard martingale decompositions of U,, ~.
📜 SIMILAR VOLUMES
For the class of U-statistics based on multidimensionally indexed random variables introduced in Christofides ( ), an improved rate of convergence in the strong law of large numbers is obtained using martingale inequalities and other results. In addition, the same rate of convergence is obtained for
This paper studies the almost sure convergence of U -statistics which depend on a parameter. We give a set of su cient conditions for uniform convergence, in the parameter, with probability one. An example of selecting a transformation to near symmetry illustrates how the result may be applied to st