Distributionally Robust Bidding in First-Price Auctions
Yun-Fan Zhang, Chen-Chin Cheng, Suo-Fei Feng et al.
· 0 citations
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Open access
Sep 2026
Bias Reduction for Nonparametric Density Estimator with Standard Kernels
Kernel density estimation (KDE) is a widely used nonparametric tool for recovering unknown probability density functions without strong distributional assumptions. However, even well-tuned kernel density estimators often exhibit non-negligible bias, which can potentially affect the accuracy of subsequent statistical in...
Wen-shuenn Deng, Yi-Chen Lin, Kung-Han Yang et al.
· International Journal of Sta... · 0 citations