Regularized Semiparametric Model Identification with Application to Nuclear Magnetic Resonance Signal Quantification with Unknown Macromolecular Base-Line
正则化半参数模型识别：未知大分子基线下的核磁共振信号定量
Summary We formulate and solve a semiparametric fitting problem with regularization constraints. The model that we focus on is composed of a parametric non-linear part and a nonparametric part that can be reconstructed via splines. Regularization is employed to impose a certain degree of smoothness on the nonparametric part. Semiparametric regression is presented as a generalization of non-linear regression, and all important differences that arise from the statistical and…