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101by He, Baohua“... kernel regression estimators are provided....”
Published 2009
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102“...The problem of boundary effects for nonparametric kernel regression is considered. We will follow...”
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Article -
103by Nessim Souissi“... nonparametric technique based on kernel regression, we allow comparing evolution of risk neutral density...”
Published 2017-01-01
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Article -
104“... spline regression tends to provide better peak location estimation compared to constrained kernel...”
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105by Patrick Rakotomarolahy“..., asymptotic variance of the encompassing statistic associated to kernel regression depends on the density...”
Published 2020-01-01
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Article -
106by Mai F. Minamikawa, Keisuke Nonaka, Eli Kaminuma, Hiromi Kajiya-Kanegae, Akio Onogi, Shingo Goto, Terutaka Yoshioka, Atsushi Imai, Hiroko Hamada, Takeshi Hayashi, Satomi Matsumoto, Yuichi Katayose, Atsushi Toyoda, Asao Fujiyama, Yasukazu Nakamura, Tokurou Shimizu, Hiroyoshi Iwata“... prediction (GBLUP) with linear ridge kernel regression (RR) was more robust and accurate than GBLUP with non...”
Published 2017-07-01
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Article -
107“...There exist many different methods to choose the bandwidth in kernel regression. If, however...”
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Article -
108by Martina Čampulová“... kernel regression with both global and local bandwidth, moving average, exponential smoothing, robust...”
Published 2018-01-01
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Article -
109“...This paper discusses nonparametric kernel regression with the regressor being a \(d\)-dimensional...”
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Article -
110by Verbel, Irina“... technique is used to construct sparse generalized Gaussian Kernel regression model- so called neural network...”
Published 2009
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Dissertation -
111“... kernel regression estimators and then through a real Malaria dataset....”
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Article -
112“... kernel regression. The results of selection then can be explained by different situations of the assets...”
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113“... of a stochastic code output. The first one is based on kernel regression and the second one...”
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Article -
114“... smoothing pattern, and other patterns that tend to be random are commonly modeled using kernel regression...”
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Article -
115“... learning community. In this work, we consider how to incorporate group fairness constraints into kernel...”
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Article -
116by Feng, Hui“...-parametric way, while avoiding the "curse of dimensionality" associated with nonparametric kernel regression....”
Published 2009
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117“.... The nonlinear correction is based on the local linear kernel regression technique with time to maturity...”
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118by Chu, Chi-Yang“... and propose non-geometric discrete kernel functions as a possible solution. This issue also occurs in kernel...”
Published 2017
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120“... class-specific kernel regression classification is proposed for face recognition under very low...”
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