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Control of Stochastic Processes that Proceeds in the Limited Area
Medvedev, Alexander V., Mikhov, Eugene D., Медведев, Александр В., Михов, Евгений Д.
and control of H-processes are considered in detail. The modification of the nonparametric dual control
Sharp oracle inequalities for the nonparametric signal estimation in the Lévy regression model
Beltaief, S., Chernoyarov, Oleg V., Pergamenshchikov, Serguei M.
Sharp oracle inequalities for the nonparametric signal estimation in the Lévy regression model
A Class of Local Linear Estimators with Functional Data
Leulmi, Sara, Messaci, Fatiha, Леулми, Сара, Мессачи, Фатиха
We introduce a local linear nonparametric estimation for the generalized regression function of a
Адаптивное оценивание в непараметрической авторегрессии
Повзун, Мария Анатольевна
In this paper we consider an adaptive estimation problem in the nonparametric autoregression. We
Efficiency measurement of professional football clubs: A non-parametric approach
Kulikova L., Goshunova A.
' registrations influences efficiency of football club, but it isn't a crucial factor. Another important factors
Efficiency measurement of professional football clubs: A non-parametric approach
Kulikova L., Goshunova A.
' registrations influences efficiency of football club, but it isn't a crucial factor. Another important factors
Fuzzy regression analysis using trapezoidal fuzzy numbers
Ismagilov I.I., Alsaied G.
. The method is based on dividing the sample using a regression model which is estimated by using the ordinary
Отбор информативных признаков в непараметрической оценке регрессии с использованием генетических алгоритмов
Волкова, Светлана Сергеевна, Сергиенко, Роман Борисович
Informative attributes selection in nonparametric regression estimation by making use of genetic
Выбор оптимального параметра сглаживания для непараметрической оценки регрессионной модели надежности
Демин, Виктор Андреевич, Чимитова, Екатерина Владимировна
Choice of optimal smoothing parameter for nonparametric estimation of regression reliability model
On the Bayesian multidimensional-matrix polynomial empirical regression
Mukha, V. S., Malikova, I. G.
The problem of the parameters estima-tion for the polynomial in the input variables regression

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