Statistical inference on transformation models: a self-induced smoothing approach
Statistical inference on transformation models: a self-induced smoothing approach
This paper deals with a general class of transformation models that contains many important semiparametric regression models as special cases. It develops a self-induced smoothing for the maximum rank correlation estimator, resulting in simultaneous point and variance estimation. The self-induced smoothing does not require bandwidth selection, yet provides the right …