Results 91 to 100 of about 23,749 (256)
Softplus Regressions and Convex Polytopes
, 2016 33 pages + 12 page appendix, 15 figures, 10 ...
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On Convex Combination of Local Constant Regression
Communications for Statistical Applications and Methods, 2006 Local polynomial regression is widely used because of good properties such as such as the adaptation to various types of designs, the absence of boundary effects and minimax efficiency Choi and Hall (1998) proposed an estimator of regression function using a convex combination idea. They showed that a convex combination of three local linear estimators
Jung-Won Mun, Choong-Rak Kim
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Advanced Science, EarlyView.Super‐multiplexed Label‐free Raman Imaging (SLRI) enables 2D/3D metabolic mapping of intact Drosophila testes. Moving beyond descriptive morphology, it establishes a multidimensional tool for tissue metabolic remodeling, and offers a generalizable platform for complex tissue analysis, with implications extending to development and disease. ABSTRACT The
Jiaxin Li +23 more
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Advanced Science, EarlyView.EndoTac presents a trocar‐compatible endoscopic vision‐based tactile sensor that uses a convex mirror to enlarge side‐facing tactile coverage during minimally invasive vessel palpation. Distorted tactile images are unwarped and processed by a learning model to estimate vascular deformation, enabling sensitive, spatially distributed tactile perception ...
Yupeng Wang +5 more
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Achieving the oracle property of OEM with nonconvex penalties
Statistical Theory and Related Fields, 2017 Thepenalised least square estimator of non-convex penalties such as the smoothly clipped absolute deviation (SCAD) and the minimax concave penalty (MCP) is highly nonlinear and has many local optima.
Shifeng Xiong, Bin Dai, Peter Z. G. Qian
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Multi-task learning regression via convex clustering
Computational Statistics & Data AnalysisMulti-task learning (MTL) is a methodology that aims to improve the general performance of estimation and prediction by sharing common information among related tasks. In the MTL, there are several assumptions for the relationships and methods to incorporate them.
Akira Okazaki, Shuichi Kawano
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Bio‐Based Polyurethanes for Sustainable and Multifunctional Applications
Advanced Science, EarlyView.Bio‐based polyurethanes prepared from vegetable oils, lignin, and polysaccharides have attracted increasing interest as alternatives to fossil‐derived polyurethanes. This review summarizes recent progress in their chemistry, structural engineering, and advanced applications, highlighting the roles of feedstocks, chain‐segment design, dynamic covalent ...
Xin Li +6 more
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Optimal resource allocation: Convex quantile regression approach
European Journal of Operational ResearchOptimal allocation of resources across sub-units in the context of centralized decision-making systems such as bank branches or supermarket chains is a classical application of operations research and management science. In this paper, we develop quantile allocation models to examine how much the output and productivity could potentially increase if ...
Sheng Dai +3 more
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Bayesian nonparametric multivariate convex regression
, 2011 In many applications, such as economics, operations research and reinforcement learning, one often needs to estimate a multivariate regression function f subject to a convexity constraint. For example, in sequential decision processes the value of a state under optimal subsequent decisions may be known to be convex or concave. We propose a new Bayesian
Hannah, Lauren A., Dunson, David B.
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Advanced Science, EarlyView.Androgenetic alopecia (AGA) is a common form of hair loss with limited treatment options. Silencing of WNT5A signaling, which is widely known as the trigger of the ncWNT signaling pathway, happens in hair follicle stem cells from balding areas. It leads to downregulation of ATF3 and its target FOSB.
Ruiyu Luo +10 more
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