COLLECTIVE OF NONPARAMETRIC REGRESSIONS BASED ON DECOMPOSITION OF TRAINING SAMPLE
- Authors: Lapko AV1, Lapko VA1, Varochkin SS1
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Affiliations:
- Issue: Vol 10, No 1-2 (2009)
- Pages: 38-40
- Section: Articles
- URL: https://journals.eco-vector.com/2712-8970/article/view/508259
- ID: 508259
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Abstract
The technique of synthesis and the analysis of collective nonparametric regresses providing high computing efficiency of the decision of problems of restoration of stochastic dependences due to use of technology of parallel calculations is offered. Asymptotic properties of collective are researched, its comparison with traditional nonparametric regression is made.
About the authors
A V Lapko
Email: lapko@icm.krasn.ru
V A Lapko
Email: lapko@icm.krasn.ru
S S Varochkin
References
- Надарая Э.А. Непараметрические оценки кривой регрессии / Э.А. Надарая // Тр. ВЦ АН ГССР, 1965. Вып. 5. С. 56-68.
- Parzen E. On estimation of a probability density function and mode / E. Parzen // Ann. Math. Statistic. 1962. Vol. 33. Р. 1065-1076.
- Лапко А.В. Имитационные модели неопределенных систем / А.В. Лапко. Новосибирск: Наука, Сиб. отд-ние, 1993.
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