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121“..., the algorithm iteratively combines density-corrected binary kernel regression with a novel information-gathering...”
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122“... function and recovering risk-neutral distributions implicit in option prices. We use nonparametric kernel...”
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123by Clark, Darin P.“... sampling, the split Bregman optimization method, and piecewise-constant kernel regression. The integrated...”
Published 2015
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124“... historical volatility, ad hoc volatility estimation and nonparametric kernel regression volatility estimation...”
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125
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126by Tosatto, Samuele“...-parametric technique named Nadaraya-Watson kernel regression. Building on a solid theoretical framework, we...”
Published 2021
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127“...Kernel density estimation and kernel regression are useful ways to visualize and assess...”
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128“.... The dissimilarity was measured as a decreasing function associated with adaptive kernel regression. The proposed...”
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129“... such as kernel regression, correlation matrix diagonal segmentation, semi-parametric permutation and cyclic...”
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130“... learning technique known as Nadaraya-Watson Kernel regression. The latter has significantly lower time...”
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131by St-Aubin, Robert“... proposed, in this work, to modify some of the ideas used in the cross-validation criterion in kernel...”
Published 2009
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132“.... In the MobiQC, we use both linear and kernel regression model to reduce total transmitted data and in-network...”
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133by Wheelwright, Alison V.“... edges to be estimated more accurately. Bivariate kernel regression is used in the first stage to fit a...”
Published 1992
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134by Rivers, Derick L.“... and Kernel Regression. Two of these hybrid techniques: Model Robust Regression 1 (MRR1) and Model Robust...”
Published 2009
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136by Grímur Hjörleifsson Eldjárn, Andrew Ramsay, Justin J J van der Hooft, Katherine R Duncan, Sylvia Soldatou, Juho Rousu, Rónán Daly, Joe Wandy, Simon Rogers“... an Input-Output Kernel Regression approach. Finally, we present NPLinker, a software framework to link...”
Published 2021-05-01
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137“... (MARS) and kernel regression routines. We justify the combinability of their regression ingredients in a...”
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138“..., auxiliary information is used via an improved Nadaraya–Watson kernel regression technique to compensate...”
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139“... consists of three steps. Firstly, the local kernel regression descriptor is exploited to derive a set...”
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140“...-Economic Zone. A nonparametric kernel regression model is employed to estimate the relation between...”
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Article