{"id":"W2805040766","doi":"10.2991/jsta.2018.17.1.12","title":"Divergence Measures Estimation and Its Asymptotic Normality Theory Using Wavelets Empirical Processes I","year":2018,"lang":"en","type":"article","venue":"Journal of Statistical Theory and Applications","topic":"Statistical and numerical algorithms","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"BP (Canada)","funders":"Centre d'Excellence africain en Mathématiques, Informatique et TIC; World Bank Group","keywords":"Mathematics; Asymptotic distribution; Econometrics; Divergence (linguistics); Local asymptotic normality; Statistics; Estimation; Wavelet; Asymptotic analysis; Applied mathematics; Normality; Estimator; Economics; Computer science; Artificial intelligence","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":[0.008203282,0.0008116907,0.00113412,0.002492324,0.0005315662,0.002128055,0.001208359,0.001479886,0.001439785],"category_scores_gemma":[0.03677775,0.0004437218,0.001388044,0.001811969,0.003993145,0.003878988,0.002994611,0.003477163,0.0003746313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001306908,"about_ca_system_score_gemma":0.001114212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007979129,"about_ca_topic_score_gemma":0.0002973486,"domain_scores_codex":[0.9965475,0.001488205,0.0002328821,0.0005150613,0.001031448,0.0001849385],"domain_scores_gemma":[0.9870985,0.008915875,0.0009121091,0.001119326,0.001668781,0.0002854009],"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":[0.0000249123,0.00002739115,0.001317638,0.0001063614,0.00004483069,0.00009587203,0.0001211827,0.03136536,0.002113554,0.9361902,0.0007921325,0.02780061],"study_design_scores_gemma":[0.000007198929,0.0000669539,0.001063183,0.00004993455,0.00001896586,0.0002255288,0.00004999459,0.3464787,0.00130504,0.6479576,0.002745684,0.00003110322],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007795741,0.0006763834,0.9894742,0.0003024195,0.00007126472,0.00001136226,0.00003033324,0.00004302896,0.001595326],"genre_scores_gemma":[0.6247962,0.005298992,0.3604967,0.0007315199,0.001128946,0.0002571229,0.0004455286,0.0002352096,0.006609763],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008203282,"threshold_uncertainty_score":0.0433836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07871427853531923,"score_gpt":0.3896978479220343,"score_spread":0.310983569386715,"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."}}