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Showing 1 to 1 of 1 for “"Random Censoring"”.
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Variable screening and model selection in censored quantile regression via sparse penalties and stepwise refinement
… for each observation, it is common to model the censoring as random. Under the assumption that y_i and C_i are conditionally independent given x_i, we use the random censored quantile regression Portnoy estimators (2010). This method simplifies the censored problem into a weight problem. When …