{"id":"W2055975965","doi":"10.1016/j.jmva.2012.06.008","title":"A weighted bootstrap approximation of the maximal deviation of kernel density estimates over general compact sets","year":2012,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Mathematics; Kernel (algebra); Kernel density estimation; Applied mathematics; Sample (material); Weighted geometric mean; Statistics; Weighted arithmetic mean; Distribution (mathematics); Mathematical analysis; Combinatorics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01278721,0.001179461,0.001661588,0.002363837,0.0005654778,0.002115805,0.003208419,0.001986723,0.002577088],"category_scores_gemma":[0.06834283,0.0009026883,0.001296913,0.001779703,0.002598837,0.003807197,0.003389112,0.002607867,0.0005491708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001004163,"about_ca_system_score_gemma":0.001234086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001536172,"about_ca_topic_score_gemma":0.001250059,"domain_scores_codex":[0.9965847,0.001926126,0.0001574807,0.000422175,0.0007356863,0.0001737204],"domain_scores_gemma":[0.9687111,0.02384207,0.001436279,0.002653871,0.002568736,0.0007879031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006149726,0.0001828653,0.005588554,0.0005513562,0.0003704692,0.0003828778,0.0003599683,0.2733241,0.008382259,0.622852,0.003994555,0.08339608],"study_design_scores_gemma":[0.00002242647,0.00004353226,0.0007990919,0.00005881922,0.00003339893,0.0001106447,0.00002859373,0.9017852,0.00105082,0.09484772,0.001194951,0.0000248054],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02051226,0.0005023715,0.9773557,0.000231035,0.00005774757,0.00002643423,0.00008332432,0.000144543,0.001086669],"genre_scores_gemma":[0.5232348,0.001545967,0.4685827,0.0003857521,0.0004868415,0.0002930688,0.001134707,0.0004249947,0.003911105],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01278721,"threshold_uncertainty_score":0.067626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08430617475264796,"score_gpt":0.3864654056950372,"score_spread":0.3021592309423892,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}