{"id":"W4387107097","doi":"10.1007/s13253-023-00572-z","title":"The $$\\beta $$-divergence for Bandwidth Selection in Circular Kernel Density Estimation","year":2023,"lang":"en","type":"article","venue":"Journal of Agricultural Biological and Environmental Statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Kernel density estimation; Bandwidth (computing); Estimator; Mathematics; Variable kernel density estimation; Statistics; Kernel (algebra); Divergence (linguistics); Density estimation; Mean squared error; Applied mathematics; Computer science; Algorithm; Kernel method; Artificial intelligence; Combinatorics; Support vector machine; Telecommunications","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":[0.02271402,0.0006359736,0.00124676,0.001858583,0.001132999,0.001886387,0.002494304,0.002146693,0.003654085],"category_scores_gemma":[0.1317084,0.000631517,0.0009160208,0.001855441,0.004058414,0.004243745,0.003225287,0.003458708,0.0007214476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001367067,"about_ca_system_score_gemma":0.001862793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003695026,"about_ca_topic_score_gemma":0.00251678,"domain_scores_codex":[0.9920382,0.005835888,0.000323152,0.0006978326,0.0008652544,0.0002395706],"domain_scores_gemma":[0.9183826,0.07192868,0.001201506,0.00343456,0.004274162,0.0007784335],"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":[0.0002631621,0.0001085926,0.00711508,0.0002871008,0.0001785281,0.000242703,0.0004551999,0.1370651,0.00231953,0.7141263,0.006303984,0.1315346],"study_design_scores_gemma":[0.00003782352,0.00005278883,0.001780151,0.0001073417,0.00003158566,0.000275771,0.0000995068,0.6555952,0.0008565896,0.3389722,0.002138566,0.00005257174],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01483789,0.000567826,0.9826209,0.0006008276,0.000105095,0.00001999039,0.00005476331,0.0001144459,0.001078275],"genre_scores_gemma":[0.5232599,0.001493064,0.4658385,0.0009500188,0.0005640812,0.0004343049,0.0006865339,0.0008862059,0.005887319],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02271402,"threshold_uncertainty_score":0.1201246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06058714762932653,"score_gpt":0.294379623140716,"score_spread":0.2337924755113895,"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."}}