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We consider quantile estimation in a semi-supervised setting, characterized by two available data sets: (i) a small or moderate sized labeled data set containing observations for a response and a set of possibly high dimensional covariates, and (ii) a much larger unlabeled data set where only the covariates are observed.
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Li, K.-C. (1991) · 1991
Earlier work this paper cites.
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Newey, W. K. and McFadden, D. (1994) · 1994
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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