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Условные меры зависимости

Симахин, В. А., Simakhin, V. A.

Nonparametric estimations of dependence measures

Pairing an arbitrary regressor with an artificial neural network estimating aleatoric uncertainty

Gurevich P., Stuke H.

We suggest a general approach to quantification of different forms of aleatoric uncertainty

Basics of building and analyzing adaptively targeted forecast models for supply chain management

Davnis, V. V., Tinyakova, V. I., Karyagina, T. V., Frolov, I. S., Sivtsova, N. F.

Forecasting is an under estimated field of research in supply chain management. To describe

Using Additive Robust Modeling and Fault Simulation for Laser Ranging Measurements

Andreev A., Nefedyev Y.

estimations of the ridge, its regression and stability.

Estimating smoothness and optimal bandwidth for probability density functions

Politis, Dimitris N., Tarassenko, Peter F., Vasilev, Vyacheslav A.

The properties of non-parametric kernel estimators for probability density function from two

On sequential estimation of the parameters of continuous-time trigonometric regression

Emelyanova, T. V., Konev, Victor V.

Consideration was given to the problem of estimating the parameters of a trigonometric regression

Процедура непараметрического оценивания функционалов от распределений стационарных последовательностей и ее применение в экономических и технических приложениях

Рюмкин, Валерий Иванович

Procedure of a nonparametric estimation of terminal type functionals and its application

Econometric estimation of debt on legal entities loans

Bulatova E., Kadochnikova E., Khaliullina E.

to legal entities on the example of the russian economy, based on a multiple regression linear model

Double Loop Control of Linear Dynamical Systems and an Algorithm for Adjustment of the Typical Controllers Using the Nonparametric Model of a Llinear Dynamical System

Alexander, Nikolaevich Pupkov, Roman, Yurievich Tsarev

The paper considers the double loop control of a linear dynamic system based on a nonparametric

Using adaptive regressions for analysis of server time parameters

of the proper model components is carried out, and the interval of a satisfactory forecast is estimated

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