Censored Median Regression using Support Vector Machine

This paper deals with the estimations of the linear and the nonlinear median regressions when the responses are subject to randomly right censoring. The weighted data are formed by redistributing the weights of the censored data to the uncensored data. With the weighted data we propose the estimations of the linear and the nonlinear censored median regressions by the support vector machine. Experimental results are then presented which indicate the performance of the estimation method.