Post-shrinkage strategies for nonlinear semiparametric regression models in low and high-dimensional settings
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This paper considers semiparametric estimation strategies for the nonlinear semiparametric regression model (NSRM) under the sparsity assumption by modifying the Gauss-Newton method for both low- and high-dimensional data scenarios. In the low-dimensional case... ...
