Results 41 to 50 of about 170,593 (200)
Development of Semiparametric Smoothing Spline Path Analysis on Cashless Society
Cauchy: Jurnal Matematika Murni dan AplikasiPath analysis requires assumptions to be met, particularly the linearity assumption, which can be tested using the Ramsey Regression Specification Error Test (RESET). Parametric path analysis is appropriate when all variable relationships are linear. For
Muhammad Rafi Hasan Nurdin +4 more
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Monotone Smoothing Splines with Bounds [PDF]
Acta Applicandae Mathematicae, 2020 AbstractThe problem of monotone smoothing splines with bounds is formulated as a constrained minimization problem of the calculus of variations. Existence and uniqueness of solutions of this problem is proved, as well as the equivalence of it to a finite dimensional but nonlinear optimization problem. A new algorithm for computing the solution which is
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Equivalent Kernels for Smoothing Splines [PDF]
Journal of Integral Equations and Applications, 2006 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Eggermont, P.P.B., LaRiccia, V.N.
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Smoothing with Curvature Constraints based on Boosting Techniques [PDF]
, 2006 In many applications it is known that the underlying smooth function is constrained to have a specific form. In the present paper, we propose an estimation method based on the regression spline approach, which allows to include concavity or convexity ...
Gerhard Tutz +3 more
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Optimal design for smoothing splines [PDF]
Annals of the Institute of Statistical Mathematics, 2009 In the common nonparametric regression model we consider the problem of constructing optimal designs, if the unknown curve is estimated by a smoothing spline. A new basis for the space of natural splines is derived, and the local minimax property for these splines is used to derive two optimality criteria for the construction of optimal designs.
Dette, Holger +2 more
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Финансы: теория и практика, 2022 This paper aims to restore some parameters of functionals using cubic splines to forecast rare events in finance and economics. The article considers the mathematical method for recovering an unknown function from many different functionals, such as the ...
Yu. A. Korablev
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Control theoretic smoothing splines [PDF]
IEEE Transactions on Automatic Control, 2000 Summary: In this paper some of the relationships between optimal control and statistics are examined. We produce generalized, smoothing splines by solving an optimal control problem for linear control systems, minimizing the \(L^2\)-norm of the control signal, while driving the scalar output of the control system close to given, prespecified ...
Shan Sun +2 more
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Performance of robust GCV and modified GCV for spline smoothing [PDF]
, 2012 While it is a popular selection criterion for spline smoothing, generalized cross-validation (GCV) occasionally yields severely undersmoothed estimates.
Anderssen, R.S. +2 more
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Nonparametric Smoothing Spline Approach in Examining Investor Interest Factors
JTAM (Jurnal Teori dan Aplikasi Matematika)The nonparametric approach is an appropriate approach for patterns of relationships between predictor variables and response variables that are not or have not been known in form.
Yossy Maynaldi Pratama +3 more
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Econometric Theory, 1999 We use smoothing splines to introduce prior information in nonparametric models. The type of information we consider is based on the belief that the regression curve is similar in shape to a parametric model. The resulting estimator is a convex sum of a fit to data and the parametric model, and it can be seen as shrinkage of the smoothing spline toward
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