Results 21 to 30 of about 932 (214)
Spline estimator and its asymptotic properties in multiresponse nonparametric regression model [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2020 In applications, we often meet the problem where more than one response variable is observed at several values of predictor variables, and these responses are correlated with each other.
Budi Lestari +2 more
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Smoothing Parameter and Model Selection for General Smooth Models [PDF]
Journal of the American Statistical Association, 2016 This paper discusses a general framework for smoothing parameter estimation for models with regular likelihoods constructed in terms of unknown smooth functions of covariates. Gaussian random effects and parametric terms may also be present. By construction the method is numerically stable and convergent, and enables smoothing parameter uncertainty to ...
Wood, Simon N. +2 more
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Robust smoothing: Smoothing parameter selection and applications to fluorescence spectroscopy [PDF]
Computational Statistics & Data Analysis, 2010 Fluorescence spectroscopy has emerged in recent years as an effective way to detect cervical cancer. Investigation of the data preprocessing stage uncovered a need for a robust smoothing to extract the signal from the noise. We compare various robust smoothing methods for estimating fluorescence emission spectra and data driven methods for the ...
Jong Soo Lee, Dennis D. Cox
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Use of Two Smoothing Parameters in Penalized Spline Estimator for Bi-variate Predictor Non-parametric Regression Model [PDF]
Journal of Sciences, Islamic Republic of Iran, 2020 Penalized spline criteria involve the function of goodness of fit and penalty, which in the penalty function contains smoothing parameters. It serves to control the smoothness of the curve that works simultaneously with point knots and spline degree. The
Anna Islamiyati
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PREDIKSI JUMLAH CALON PESERTA DIDIK BARU MENGGUNAKAN METODE DOUBLE EXPONENTIAL SMOOTHING DARI BROWN
Jurnal Lebesgue, 2020 Peramalan data statistika memerlukan kesesuaian pola data dengan metode peramalan yang digunakan. Tujuan penelitian ini yaitu memprediksi jumlah mahasiswa baru pada tahun ajaran baru menggunakan metode Double Exponential Smoothing satu parameter dari ...
Aden, Anggela Supriyanti
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A new family of kernels from the beta polynomial kernels with applications in density estimation
IJAIN (International Journal of Advances in Intelligent Informatics), 2020 One of the fundamental data analytics tools in statistical estimation is the non-parametric kernel method that involves probability estimates production.
Israel Uzuazor Siloko +2 more
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Stochastic Smoothing Methods for Nonsmooth Global Optimization
Кібернетика та комп'ютерні технології, 2020 . The paper presents the results of testing the stochastic smoothing method for global optimization of a multiextremal function in a convex feasible subset of Euclidean space.
V.I. Norkin
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Choice of Smoothing Parameter for Kernel Type Ridge Estimators in Semiparametric Regression Models
Revstat Statistical Journal, 2021 This paper concerns kernel-type ridge estimators of parameters in a semiparametric model. These estimators are a generalization of the well-known Speckman’s approach based on kernel smoothing method. The most important factor in achieving this smoothing
Ersin Yilmaz +2 more
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Journal of Open Innovation: Technology, Market and Complexity, 2023 This research concentrates on using neural networks in the modelling and prediction of macroeconomic variables in specific. Macroeconomic predictors are particularly interested in neural networks because of their capacity to predict any linear or non ...
Rabia Sabri +5 more
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Resistant selection of the smoothing parameter for smoothing splines
Statistics and Computing, 2001 Robust automatic selection techniques for the smoothing parameter of a smoothing spline are introduced. They are based on a robust predictive error criterion and can be viewed as robust versions of Cp and cross-validation. They lead to smoothing splines which are stable and reliable in terms of mean squared error over a large spectrum of model ...
Cantoni, Eva, Ronchetti, Elvezio
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