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We propose a new class of nonlocal prior to improve the performance of variable selection in high dimensional setting. We prove our new prior possesses the robustness to hyper parameter settings and is able to detect smaller decreasing signals.

生成讲解博客的中文版本

生成AI智能校验的中文版本