{"id":"W2755102756","doi":"10.1111/sjos.12300","title":"A Family of Goodness‐of‐Fit Tests for Copulas Based on Characteristic Functions","year":2017,"lang":"en","type":"article","venue":"Scandinavian Journal of Statistics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Mathematics; Copula (linguistics); Goodness of fit; Estimator; Statistics; Nonparametric statistics; Parametric statistics; Applied mathematics; Statistical hypothesis testing; Econometrics","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":[0.02257661,0.001271733,0.002235601,0.008752356,0.0007409609,0.002850465,0.002237938,0.001748494,0.002839969],"category_scores_gemma":[0.1268444,0.0005299079,0.002255479,0.003742955,0.003270855,0.003873065,0.002592637,0.002446705,0.0007279033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001000536,"about_ca_system_score_gemma":0.001586595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008127569,"about_ca_topic_score_gemma":0.0004184647,"domain_scores_codex":[0.9843275,0.01005495,0.0007543077,0.001204056,0.003151027,0.0005081419],"domain_scores_gemma":[0.8913083,0.0890634,0.006578619,0.005713164,0.006205515,0.001130987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007769942,0.0003889533,0.05042735,0.001003137,0.001430048,0.00106946,0.0007781466,0.2689652,0.007746113,0.2937815,0.006181369,0.3674518],"study_design_scores_gemma":[0.0001015635,0.0007792632,0.01629826,0.0002106394,0.0001269785,0.0007720536,0.0003096773,0.8393165,0.002948428,0.1354853,0.00347283,0.0001785973],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05346714,0.000551019,0.9433499,0.0001822048,0.00005447519,0.0001694721,0.0003042331,0.0004122992,0.001509307],"genre_scores_gemma":[0.7420287,0.0004285103,0.2545779,0.0001346709,0.0001672174,0.0007646629,0.0009046027,0.0002522461,0.0007415295],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02257661,"threshold_uncertainty_score":0.119398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1744754322988483,"score_gpt":0.4215193213785348,"score_spread":0.2470438890796864,"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."}}