Results 51 to 60 of about 27,189 (192)
Bayesian Regularisation in Structured Additive Regression Models for Survival Data [PDF]
, 2008 During recent years, penalized likelihood approaches have attracted a lot of interest both in the area of semiparametric regression and for the regularization of high-dimensional regression models.
Konrath, Susanne +2 more
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Eccentric hyperbola: A new modified cutaneous scar re-excision on convex surfaces
Journal of Dermatology and Dermatologic Surgery, 2018 “Re-excision of scar” is a common procedure following diagnostic or therapeutic excision of skin cancer cutaneous lesions. With the conventional techniques, skin tension on convex surfaces results in deformity and elongated scars.
Georgios Pafitanis +3 more
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Cybernetics and Information Technologies, 2023 A startup is a recently established business venture led by entrepreneurs, to create and offer new products or services. The discovery of promising startups is a challenging task for creditors, policymakers, and investors. Therefore, the startup survival
Allu Ramakrishna +1 more
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Isotone Optimization in R: Pool-Adjacent-Violators Algorithm (PAVA) and Active Set Methods
, 2009 In this paper we give a general framework for isotone optimization. First we discuss a generalized version of the pool-adjacent-violators algorithm (PAVA) to minimize a separable convex function with simple chain constraints.
de Leeuw, Jan +6 more
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MathematicsThe generalized convex nearly isotonic regression problem addresses a least squares regression model that incorporates both sparsity and monotonicity constraints on the regression coefficients.
Yanmei Xu, Lanyu Lin, Yong-Jin Liu
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High-dimensional Structured Additive Regression Models: Bayesian Regularisation, Smoothing and Predictive Performance [PDF]
, 2009 Data structures in modern applications frequently combine the necessity of flexible regression techniques such as nonlinear and spatial effects with high-dimensional covariate vectors. While estimation of the former is typically achieved by supplementing
Konrath, Susanne +2 more
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A nonparametric test of the non-convexity of regression [PDF]
Journal of Nonparametric Statistics, 1998 This paper proposes a nonparametric test of the non-convexity of a smooth regression function based on least squares or hybrid splines. By a simple formulation of the convexity hypothesis in the class of all polynomial cubic splines, we build a test which has an asymptotic size equal to the nominal level.
Diack, Cheikh, Thomas-Agnan, Christine
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AlgorithmsThe paper is devoted to the theoretical and numerical analysis of the two-step method, constructed as a modification of Polyak’s heavy ball method with the inclusion of an additional momentum parameter.
Gerasim V. Krivovichev +1 more
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Probabilistic Hourly Load Forecasting Using Additive Quantile Regression Models
Energies, 2018 Short-term hourly load forecasting in South Africa using additive quantile regression (AQR) models is discussed in this study. The modelling approach allows for easy interpretability and accounting for residual autocorrelation in the joint modelling of ...
Caston Sigauke +2 more
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Consistency of Penalized Convex Regression
International Journal of Statistics and Probability, 2020 We consider the problem of estimating an unknown convex function f_* (0, 1)^d →R from data (X1, Y1), … (X_n; Y_n).A simple approach is finding a convex function that is the closest to the data points by minimizing the sum of squared errors over all convex functions. The convex regression estimator, which is computed this way, su ers
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