{"arxiv_id":"1905.05876","incoming":{"papers":1,"sentences":4,"groups":[{"kind":"method_or_tool","label":"Uses its method or tool","papers":1,"sentences":1,"quotes":[{"arxiv_id":"2011.12154","title":"Identifying important predictors in large data bases -- multiple testing and model selection","url":"/paper/2011.12154","section":"Continous response","sentence":"Following [ref] we preprocess the data by removing probes for which the maximum expression level among the 210 individuals is smaller than the 25-th percentile of all measured expression levels and for which the range of expression levels among the 210 individuals is smaller than 2.","intent_p":0.97,"contests_p":null}]}],"unlabelled_sentences":3},"outgoing":{"papers":2,"sentences":3,"groups":[{"kind":"method_or_tool","label":"Uses the method or tool of","papers":1,"sentences":1,"quotes":[{"arxiv_id":"1708.05439","title":"Penalized Maximum Tangent Likelihood Estimation and Robust Variable Selection","url":"/paper/1708.05439","section":"Simulation study","sentence":"In Table [ref] we compare the average times needed to invoke RankLasso using the glmnet package [ref] in the R software [ref] and the robust LADLasso using the R package MTE [ref] .","intent_p":0.92,"contests_p":null}]},{"kind":"background","label":"Cites as background","papers":1,"sentences":1,"quotes":[{"arxiv_id":"1812.05723","title":"On the sign recovery by LASSO, thresholded LASSO and thresholded Basis Pursuit Denoising","url":"/paper/1812.05723","section":"Introduction","sentence":"The properties of Lasso in model selection, estimation and prediction are deeply investigated, e.g. in [ref] .","intent_p":0.96,"contests_p":null}]}],"unlabelled_sentences":1},"claims":[],"thresholds":{"intent_p":0.8,"supports_p":0.95,"contests_p":0.7},"method":"Citing sentences come from each paper's LaTeX source; every \\cite marks the sentence and the works it cites. Pith's classifier typed each sentence. A label is shown at intent probability 0.8 or more (0.95 for support), a contest at 0.7 or more. Measured accuracy against two blind model families is at https://pith.science/accuracy. The quoted sentences are the citing authors' own.","held_up":null,"_links":{"html":"https://pith.science/paper/1905.05876"}}