{"id":"W2011416863","doi":"10.1080/07350015.2012.738955","title":"Optimal Bandwidth Selection for Nonparametric Conditional Distribution and Quantile Functions","year":2012,"lang":"en","type":"article","venue":"Journal of Business and Economic Statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; North Dakota State University; North Dakota Humanities Council","keywords":"Nonparametric statistics; Quantile; Selection (genetic algorithm); Conditional probability distribution; Econometrics; Bandwidth (computing); Computer science; Mathematics; Statistics; Artificial intelligence; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045833,0.00009046886,0.0002455772,0.00007460437,0.0001213871,0.00005228375,0.00002794236,0.00004972529,0.000113679],"category_scores_gemma":[0.001279466,0.000078338,0.00002361885,0.00006736065,0.00006609972,0.0001796493,0.00001270807,0.00008165149,0.000002072844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005589038,"about_ca_system_score_gemma":0.00005607618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009916973,"about_ca_topic_score_gemma":0.000002676107,"domain_scores_codex":[0.9993028,0.00002586788,0.0003818976,0.00007494237,0.00005874636,0.0001557314],"domain_scores_gemma":[0.9977112,0.001600975,0.0003103754,0.00003590784,0.0002338467,0.0001076863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002321297,0.0002081822,0.04037341,0.000268394,0.0001354985,0.000001000233,0.00008817369,0.0003247012,0.00006906017,0.9035244,0.03010658,0.02466846],"study_design_scores_gemma":[0.002552901,0.0006197875,0.5632333,0.00008165369,0.0005787508,0.000659204,0.0002362338,0.08646025,0.0001151427,0.3339104,0.011096,0.0004564195],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1768578,0.00008639452,0.8214812,0.00004873367,0.0003604,0.0000688061,0.001067831,0.000003552785,0.00002536225],"genre_scores_gemma":[0.5947576,0.00009141021,0.4047317,0.00001374372,0.000314055,0.000005099873,0.00004032993,0.000008632612,0.00003741713],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.569614,"threshold_uncertainty_score":0.3194531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06748716992492598,"score_gpt":0.3348235636902627,"score_spread":0.2673363937653367,"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."}}