Results 51 to 60 of about 45,420 (307)
Heat Kernel Smoothing on Unit Sphere [PDF]
3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano, 2006., 2006 In brain imaging, cortical data such as the cortical thickness, cortical surface curvatures and surface coordinates have been mapped to a unit sphere for the purpose of visualization, surface registration and statistical analysis. Since the unit sphere provides a readily available parametrization and basis functions, cortical data can be easily ...
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Nonparametric Range-Based Double Smoothing Spot Volatility Estimation for Diffusion Models
Complexity, 2020 We consider nonparametric spot volatility estimation for diffusion models with discrete high frequency observations. Our estimator is carried out in two steps.
Jingwei Cai
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Advanced Engineering Materials, EarlyView.We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang +2 more
wiley +1 more source
COMPUTER-ASSISTED CHOICE OF SMOOTHING PARAMETER IN KERNEL METHODS APPLIED IN ECONOMIC ANALYSES
Quantitative Methods in Economics, 2014 In the kernel method, it is necessary to determine the value of the smoothing parameter. Not without significance is the fact of using the objectivity in the selection of this parameter and a certain automation of the selection procedure, which is ...
Aleksandra Baszczyńska
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Proceedings, 2018 Bootstrap methods are used for bandwidth selection in: (1) nonparametric kernel density estimation with dependent data (smoothed stationary bootstrap and smoothed moving blocks bootstrap), and (2) nonparametric kernel hazard rate estimation (smoothed ...
Inés Barbeito, Ricardo Cao
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Mixed Spline Smoothing and Kernel Estimator in Biresponse Nonparametric Regression
International Journal of Mathematics and Mathematical Sciences, 2021 Mixed estimators in nonparametric regression have been developed in models with one response. The biresponse cases with different patterns among predictor variables that tend to be mixed estimators are often encountered.
Dyah P. Rahmawati +3 more
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Barekeng, 2022 ISSI reflects the movement of sharia stock prices as a whole. It is necessary to forecast the share price to help investors determine whether the shares should be sold, bought, or retained. This study aims to predict the value of ISSI using nonparametric
Yuniar Farida +2 more
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Estimating Yield Curves by Kernel Smoothing Methods [PDF]
, 1998 We introduce a new method for the estimation of discount functions, yield curves and forward curves from government issued coupon bonds. Our approachis nonparametric and does not assume a particular functional form for thediscount function although we do show how to impose various restrictions inthe estimation.
Tanggaard, Carsten +3 more
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Influence of Test Temperature and Test Frequency on Fatigue Life of Aluminum Alloy EN AW‐2618A
Advanced Engineering Materials, EarlyView.The influence of test temperature and test frequency on the fatigue life of EN AW‐2618A is investigated. High‐cycle fatigue tests are performed at different test temperatures and frequencies on the 1000 h/230°C overaged state. Both test parameters reduce fatigue life due to time‐dependent damage mechanisms.
Ying Han +5 more
wiley +1 more source
Enhancing Bubble Removal in Geometry‐Optimized Electrodes
Advanced Engineering Materials, EarlyView.3D‐printed lattice electrodes outperform stochastic foams in alkaline water electrolysis despite 20%–25% lower surface area. Straight flow channels generate Venturi‐like bubble entrainment, suppressing gas accumulation that renders foam interiors electrochemically inactive.
Florian Wiesner +5 more
wiley +1 more source