Results 11 to 20 of about 23,749 (256)
Smooth Strongly Convex Regression [PDF]
2020 28th European Signal Processing Conference (EUSIPCO), 2021 6 pages, 3 ...
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Efficiency of Indian General Insurance Companies: A Convex Nonparametric Least Squares Approach
Croatian Operational Research Review, 2022 In the current millennium, the Indian general insurance market has witnessed major structural changes because of the establishment of a market regulator and the initiation of entry deregulation.
Ram Pratap Sinha +2 more
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A dual active set algorithm for optimal sparse convex regression
Vestnik Samarskogo Gosudarstvennogo Tehničeskogo Universiteta. Seriâ: Fiziko-Matematičeskie Nauki, 2019 The shape-constrained problems in statistics have attracted much attention in recent decades. One of them is the task of finding the best fitting monotone regression. The problem of constructing monotone regression (also called isotonic regression) is to
Aleksandr A. Gudkov +3 more
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CVXR: An R Package for Disciplined Convex Optimization
Journal of Statistical Software, 2020 CVXR is an R package that provides an object-oriented modeling language for convex optimization, similar to CVX, CVXPY, YALMIP, and Convex.jl. It allows the user to formulate convex optimization problems in a natural mathematical syntax rather than the ...
Anqi Fu +2 more
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Estimating a Convex Function in Nonparametric Regression [PDF]
Scandinavian Journal of Statistics, 2006 Abstract. A new nonparametric estimate of a convex regression function is proposed and its stochastic properties are studied. The method starts with an unconstrained estimate of the derivative of the regression function, which is firstly isotonized and then integrated.
Dette, Holger, Birke, Melanie
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Mathematics, 2020 A convex minimization problem in the form of the sum of two proper lower-semicontinuous convex functions has received much attention from the community of optimization due to its broad applications to many disciplines, such as machine learning ...
Warunun Inthakon +3 more
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Humanities & Social Sciences Communications, 2023 This study not only aims to elucidate the curvilinear nexus between financial resilience (FR) and corporate financial performance (CFP) by drawing on the ‘too much of a good thing (TMGT)’ and ‘too little of a good thing (TLGT)’ effect but also attempts ...
XueHui Zhang, Kun-Shan Wu, Mingwen He
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Convex Mixture Regression for Quantitative Risk Assessment [PDF]
Biometrics, 2018 Summary There is wide interest in studying how the distribution of a continuous response changes with a predictor. We are motivated by environmental applications in which the predictor is the dose of an exposure and the response is a health outcome.
Canale, Antonio +2 more
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Convex hull estimation of mammalian body segment parameters
Royal Society Open Science, 2021 Obtaining accurate values for body segment parameters (BSPs) is fundamental in many biomechanical studies, particularly for gait analysis. Convex hulling, where the smallest-possible convex object that surrounds a set of points is calculated, has been ...
Samuel J. Coatham +2 more
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Robust Variable Selection for Single-Index Varying-Coefficient Model with Missing Data in Covariates
Mathematics, 2022 As applied sciences grow by leaps and bounds, semiparametric regression analyses have broad applications in various fields, such as engineering, finance, medicine, and public health.
Yunquan Song, Yaqi Liu, Hang Su
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