Yajun Qu

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— In this work, a new algorithm, which can incorporate the ranking information as prior knowledge into the regression model, is presented. Comparing with the method that treats the ranking information as hard constraints, We handle ranking reasonably by maximization of Normalized Discount Cumulative Gain (NDCG) as information retrieval (IR) evaluation(More)
Several regression methods have been proposed for the analysis of correlated binary data, but none deals with the selection of covariates when there exist a large number of potentially relevant covariates. We present a SAS macro based on a stepwise selection procedure for the analysis of correlated binary data. Using regression methods based on generalized(More)
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