{"id":"W3197481465","doi":"10.1016/j.jmva.2021.104832","title":"Asymptotic properties of Dirichlet kernel density estimators","year":2021,"lang":"es","type":"article","venue":"Journal of Multivariate Analysis","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Estimator; Mean squared error; Kernel density estimation; Kernel (algebra); Applied mathematics; Simplex; Asymptotic distribution; Dirichlet distribution; Rate of convergence; Consistency (knowledge bases); Statistics; Mathematical analysis; Combinatorics; Boundary value problem; Computer science; Discrete mathematics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001672455,0.0003115221,0.001923538,0.000496949,0.00009494441,0.0001325337,0.0003263924,0.0001918032,0.0004560162],"category_scores_gemma":[0.01382644,0.0002280731,0.001051993,0.001658485,0.0001725271,0.0001515296,0.0001650445,0.0004684215,0.00001222897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009164129,"about_ca_system_score_gemma":0.0003784086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001473442,"about_ca_topic_score_gemma":0.00001195475,"domain_scores_codex":[0.9957246,0.0009184562,0.00191714,0.0002723805,0.0008503836,0.0003170359],"domain_scores_gemma":[0.9931598,0.001591398,0.002074501,0.000487616,0.002442526,0.0002441789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001198259,0.008880496,0.3636289,0.006103546,0.09873718,0.002360772,0.009030233,0.008192268,0.2925301,0.1725956,0.0007564917,0.03598616],"study_design_scores_gemma":[0.003365364,0.0007159755,0.4114304,0.003800779,0.07788143,0.0002616188,0.002028318,0.2531639,0.1967826,0.04896661,0.0002760908,0.001326944],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6668629,0.0009679019,0.3313741,0.0002757596,0.0002018598,0.00006318586,0.00002970528,0.000006858048,0.0002177068],"genre_scores_gemma":[0.7630323,0.000229987,0.2364233,0.0000373353,0.00009609211,6.816587e-7,0.000001356715,0.00002009687,0.0001587982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2449716,"threshold_uncertainty_score":0.9944806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06046338932003355,"score_gpt":0.3493874161708184,"score_spread":0.2889240268507849,"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."}}