{"id":"W2096793037","doi":"10.1111/j.1467-9868.2010.00770.x","title":"Non-Parametric Bayesian Inference on Bivariate Extremes","year":2011,"lang":"en","type":"article","venue":"Journal of the Royal Statistical Society Series B (Statistical Methodology)","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; University of Prince Edward Island","funders":"","keywords":"Mathematics; Frequentist inference; Markov chain Monte Carlo; Measure (data warehouse); Bayesian probability; Estimator; Extreme value theory; Bayesian inference; Statistics; Applied mathematics; Computer science","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":[0.01100172,0.000457667,0.001506174,0.002160245,0.0006827172,0.002237108,0.001529671,0.000969322,0.003185193],"category_scores_gemma":[0.06258647,0.0006548442,0.001031652,0.001566565,0.001766887,0.003165717,0.001965985,0.00204524,0.0003403306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001055177,"about_ca_system_score_gemma":0.0008538573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003123018,"about_ca_topic_score_gemma":0.002916378,"domain_scores_codex":[0.9957784,0.003071739,0.0001637798,0.0004781425,0.0003843373,0.0001234727],"domain_scores_gemma":[0.9618307,0.03351516,0.001657804,0.001751495,0.0009011565,0.0003437548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001713883,0.00006583942,0.007177754,0.0001110077,0.0001573008,0.0002053386,0.0002191575,0.6913113,0.0007190285,0.2539848,0.0009152819,0.04496172],"study_design_scores_gemma":[0.00001136709,0.00001053199,0.001119173,0.0000239528,0.00001084935,0.00003529639,0.00002048493,0.8264644,0.0001719685,0.1718443,0.0002719938,0.00001567287],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07005137,0.0002881559,0.9274633,0.0003176632,0.00001500156,0.00002372613,0.0001469048,0.0001409047,0.001552994],"genre_scores_gemma":[0.8962355,0.0004476698,0.1011354,0.00009998171,0.0000710662,0.00008856688,0.0004118415,0.00006191131,0.001448101],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01100172,"threshold_uncertainty_score":0.05818337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1529186146413172,"score_gpt":0.3050416142602103,"score_spread":0.1521229996188931,"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."}}