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ATS方法：非高斯数据的非参数回归AI 解读

ATS methods provide an approach to fitting curves and surfaces to data using nonparametric regression when distributions are not necessarily Gaussian. First, a small amount of local averaging (the “A” in ATS) is carried out, then a variance-stabilizing transformation is applied (“T”), and finally the result is smoothed (“S”) using a nonparametric regression procedure. ATS methods are quite broad in terms of applications; in this article we show how they can be used for…

ATS 方法：非高斯数据的非参数回归AI 解读

ATS methods provide an approach to fitting curves and surfaces to data using nonparametric regression when distributions are not necessarily Gaussian. First, a small amount of local averaging (the “A” in ATS) is carried out, then a variance-stabilizing transformation is applied (“T”), and finally the result is smoothed (“S”) using a nonparametric regression procedure. ATS methods are quite broad in terms of applications; in this article we show how they can be used for…