Positive-Definite Converging Kernel Estimation of Long-Run Variance
<p>Kernel estimators have been popular for decades in long-run variance estimation. To minimize the loss of efficiency measured by the mean-squared error in important aspects of kernel estimation, we propose a novel class of converging kernel estimators with three major properties: (a) the opt...
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2025
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