{"id":"W2120626287","doi":"10.1002/cjs.10088","title":"Positive quadrant dependence tests for copulas","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"KU Leuven","keywords":"Nonparametric statistics; Copula (linguistics); Estimator; Mathematics; Statistical hypothesis testing; Statistics; Econometrics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004495819,0.0000841167,0.0002463654,0.000194407,0.0001448315,0.00006339863,0.0001774527,0.00007933505,0.0001114022],"category_scores_gemma":[0.001281432,0.00009810608,0.00006124479,0.00007590216,0.00006509856,0.0001234859,0.000004291105,0.0002690542,0.00002721177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007386103,"about_ca_system_score_gemma":0.0004778774,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.006770781,"about_ca_topic_score_gemma":0.08353212,"domain_scores_codex":[0.9990698,0.00000432011,0.0005309789,0.0001149205,0.00002810969,0.000251876],"domain_scores_gemma":[0.9988182,0.00014686,0.0003424433,0.0001107633,0.0002441424,0.0003376509],"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":[0.00002474493,0.00001961559,0.07751688,0.00002690795,0.00003100621,0.0000739918,0.0008524234,0.0001392507,0.00007248233,0.9078556,0.006305118,0.007081997],"study_design_scores_gemma":[0.001207163,0.0004795497,0.1825392,0.00006971516,0.00003492882,0.0001433459,0.0001343106,0.02764437,0.0001636148,0.7145563,0.07249284,0.0005345959],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2911993,0.0007084662,0.6989539,0.0004391937,0.002172271,0.0001737662,0.005285743,0.000003503164,0.001063794],"genre_scores_gemma":[0.9361355,0.00002160105,0.06340167,0.000122041,0.0001900502,0.000001514742,0.00001082115,0.0000141606,0.0001026611],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6449361,"threshold_uncertainty_score":0.9998432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03910904093357436,"score_gpt":0.2416762185906037,"score_spread":0.2025671776570293,"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."}}