minimizer for a suitable loss function and candidate estimators are generated using this (or possibly another) loss function …

(with respect to the distribution of the random variable) of a particular (loss) function of a candidate parameter value and … the random variable. Examples of commonly used loss functions are the squared error loss function in regression and the … negative log-density loss function in density estimation. Minimizing the empirical risk (i.e., the empirical mean of the loss …

model. Chen & Chou (2002) presented a modified Wen & Mergen's (1999) model, including the quadratic quality loss function … linear quality loss function of a product for determining the optimal process mean of a one-sided specification limit. …

In van der Laan and Dudoit (2003) we propose and theoretically study a unified loss function based statistical … described as the minimizer of the population mean of a loss function, the road map involves as important ingredients cross …