{"id":"W2100113682","doi":"10.1111/rssb.12022","title":"Non-Parametric Identification and Estimation of the Number of Components in Multivariate Mixtures","year":2013,"lang":"en","type":"article","venue":"Journal of the Royal Statistical Society Series B (Statistical Methodology)","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Identifiability; Mathematics; Random variate; Multivariate statistics; Parametric statistics; Component (thermodynamics); Statistics; Applied mathematics; Multivariate normal distribution; Rank (graph theory); Identification (biology); Nonparametric statistics; Random variable; 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":[0.02107003,0.0009602673,0.002090246,0.002433284,0.001083629,0.002603695,0.00258841,0.002123075,0.001987667],"category_scores_gemma":[0.1134457,0.001250476,0.001609188,0.00153846,0.003782148,0.004979954,0.004067658,0.004006532,0.0005888714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001159842,"about_ca_system_score_gemma":0.001500156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001954937,"about_ca_topic_score_gemma":0.001787862,"domain_scores_codex":[0.9907547,0.005892253,0.0004419055,0.001301204,0.001297999,0.0003118783],"domain_scores_gemma":[0.9062536,0.07973298,0.004559072,0.005973171,0.002910109,0.0005711329],"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":[0.0003016808,0.0001397322,0.007486229,0.0003697421,0.0002595359,0.0001820808,0.0008374349,0.3658934,0.005675836,0.513042,0.001406138,0.1044062],"study_design_scores_gemma":[0.00001057569,0.00002298328,0.0009238614,0.00007251606,0.00002299863,0.00005646452,0.00006171938,0.7062572,0.001075299,0.290481,0.0009789735,0.00003640315],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008935913,0.0001430138,0.9903567,0.0001543569,0.00001172398,0.00001585617,0.00002378243,0.00005321221,0.000305398],"genre_scores_gemma":[0.3290564,0.0004912459,0.6675879,0.0001649644,0.0001081207,0.0002731813,0.0002598034,0.0001475306,0.001910886],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02107003,"threshold_uncertainty_score":0.1114303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0409057435685946,"score_gpt":0.3263296163851893,"score_spread":0.2854238728165947,"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."}}