Yazar "Aydin, Dursun" için listeleme
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ESTIMATIONS OF THE PARTIALLY LINEAR MODELS WITH SMOOTHING SPLINE BASED ON DIFFERENT SELECTION METHODS: A COMPARATIVE STUDY
Aydin, Dursun (Isoss Publ, 2014)This paper presents a comparative study of different estimations of the partially linear models based on the smoothing spline technique. Performance of this technique greatly depends on the selection of smoothing parameters. ... -
Hybrid Models Combining Neural Networks and Nonparametric Regression Models Used for Time Series Prediction
Aydin, Dursun; Mammadov, Mammadagha (World Scientific and Engineering Acad and Soc, 2009)In this paper, we proposed the hybrid models whose components are nonparametric regression and artificial neural networks. Smoothing spline, regression spline and additive regression models are considered as the nonparametric ... -
Nonparametric regression estimates based on imputation techniques for right-censored data
Ahmed, Syed Ejaz; Aydin, Dursun; Yılmaz, Ersin (Springer Verlag, 2020)Censored data is a kind of data type where the exact value of a response variable is not completely known. Therefore, this case is a problem that should be solved in order to obtain an accurate and efficient data analysis. ... -
Optimum smoothing parameter selection for penalized least squares in form of linear mixed effect models
Aydin, Dursun; Memmedli, Memmedaga (Taylor & Francis Ltd, 2012)In this article, we discuss the penalized least squares problem which has many advantageous computational properties. This method based on penalized spline (P-spline) smoothing can be formulated to fit into a linear mixed ... -
Smoothing Parameter Selection for Nonparametric Regression Using Smoothing Spline
Aydin, Dursun; Memmedli, Memmedaga; Omay, Rabia Ece (European Journal Pure & Applied Mathematics, 2013)In this paper, the smoothing parameter selection problem has been examined in respect to a smoothing spline implementation in predicting nonparametric regression models. For this purpose, a simulation study has been performed ... -
TIME SERIES FORECASTING USING A HYBRID NEURAL NETWORKS AND NONPARAMETRIC REGRESSION MODEL
Aydin, Dursun; Mammadov, Mammadagha (Isoss Publ, 2014)The focus in this paper embraces the hybrid models whose components are nonparametric regression and artificial neural networks. Smoothing spline, regression spline and additive regression models are considered as the ...
