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Boosted Ensemble of the Nadaraya-Watson estimators in regression task on the boundary of the feature space
Mangalova, E., Chubarova, O.
the performance of a single learner. Different ensemble learning methods are used in combination with one
Nonparametric prediction model of real estate value
Maksim A.Denisov, Anna A.Korneeva, Oleg A.Ikonnikov
of observations using nonparametric estimation of the regression function. The problem is solved on the base
Incomplete Least Squared Regression Function Estimator Based on Wavelets
Ryma Douas, Ilhem Laroussi, Soumia Kharfouchi, Рима Дуас, Ильхем Ларуси, Сумия Харфуши
In this paper, we introduce an estimator of the least squares regression function, for Y right
Improved robust model selection methods for a Lévy nonparametric regression in continuous time
Pchelintsev, Evgeny A., Pchelintsev, Valeriy A., Pergamenshchikov, Serguei M.
In this paper, we develop the James–Stein improved method for the estimation problem of a
Robust adaptive efficient estimation for semi-Markov nonparametric regression models
Barbu, Vlad Stefan, Beltaief, Slim, Pergamenshchikov, Sergey M.
We consider the nonparametric robust estimation problem for regression models in continuous time
Efficient nonparametric estimation of square-integrable functions in continuous time regression models
Povzun, M. A., Pchelintsev, Evgeny A., Pergamenshchikov, Serguei M.
In this paper we study an asymptotic efficiency property of the weighted least squares estimates
Non-parametric estimation in a semimartingale regression model. Part 1. Oracle inequalities
Konev, Victor V., Pergamenshchikov, Serguei M.
This paper considers the problem of estimating a periodic function in a continuoustime regression
Non-Parametric Sequential Estimation of a Regression Function Based on Dependent Observations
Politis, Dimitris N., Vasiliev, Vyacheslav A.
Non-Parametric Sequential Estimation of a Regression Function Based on Dependent Observations
Nonparametric estimation in a semimartingale regression model. Part 2. Robust asymptotic efficiency
Konev, Victor V., Pergamenshchikov, Serguei M.
over a broad class of observation distributions. Asymptotic upper and lower bounds for the robust risk
On the Nonparametric Estimation of the Functional Regression Based on Censored Data under Strong Mixing Condition
Leulmi, Farid, Leulmi, Sara, Kharfouchi, Soumia, Леулми, Фарид, Леулми, Сара, Харфучи, Сумия
In this paper, we are concerned with local linear nonparametric estimation of the regression

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