Post-Selection Inference with HSIC-Lasso
Tobias Freidling 1 Benjamin Poignard 2 3 Hector Climente-Gonzalez 3 Makoto Yamada 3 4
Abstract The most straightforward remedy is sample splitting,
which uses one part of the data for model selection and the
Detecting influential features in non-linear and/or other part for inference, cf. (Cox, 1975). However, this
high-dimensional data is a challenging and in- ap ...


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