Collective of nonparametric regressions based on decomposition of training sample
Автор: Lapko A.V., Lapko V.A., Varochkin S.S.
Журнал: Сибирский аэрокосмический журнал @vestnik-sibsau
Рубрика: Математика, механика, информатика
Статья в выпуске: 1-2 (22), 2009 года.
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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.
Nonparametric regression, the big samples, asymptotic properties, principles of decomposition, collective estimations, parallel computing technologies
Короткий адрес: https://sciup.org/148175843
IDR: 148175843
