{"id":"W2149575971","doi":"10.1016/j.jeconom.2010.10.003","title":"Empirical likelihood block bootstrapping","year":2010,"lang":"en","type":"article","venue":"Journal of Econometrics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University; Bank of Canada","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Bootstrapping (finance); Moment (physics); Mathematics; Monte Carlo method; Resampling; Empirical likelihood; Multinomial distribution; Inference; Edgeworth series; Applied mathematics; Asymptotic analysis; Statistics; Series (stratigraphy); Econometrics; Estimator; Computer science; Artificial intelligence","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":[0.001344344,0.00009999087,0.0003390246,0.0005016697,0.00004303267,0.00006055504,0.0002449113,0.0001027424,0.0004867296],"category_scores_gemma":[0.01160665,0.00007943457,0.0001371745,0.0005372557,0.00004523845,0.0001032735,0.00003597722,0.000626926,0.00001935737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002634397,"about_ca_system_score_gemma":0.00009926033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.356854e-7,"about_ca_topic_score_gemma":0.000001742629,"domain_scores_codex":[0.9987879,0.00003972199,0.0006910789,0.00009650848,0.0001750867,0.0002097389],"domain_scores_gemma":[0.9962422,0.002651518,0.0004773044,0.0001663745,0.0002351303,0.0002275268],"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":[0.0001202661,0.002234329,0.2012217,0.0003719332,0.0005847902,0.0002912265,0.001060396,0.00001741926,0.0056454,0.4108337,0.06161483,0.3160039],"study_design_scores_gemma":[0.0007939124,0.0005193065,0.03843332,0.00003860713,0.00009527817,0.0004192056,0.0001213035,0.0007520771,0.001055103,0.9319271,0.0255498,0.0002949501],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8847507,0.00008787595,0.1008955,0.000555916,0.001350025,0.0000623537,0.000008707256,0.00001376002,0.01227508],"genre_scores_gemma":[0.668097,0.00002587741,0.3312536,0.0001437988,0.0004169919,5.881063e-7,9.463538e-8,0.00001213277,0.00004994664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5210934,"threshold_uncertainty_score":0.996719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3334171910111891,"score_gpt":0.3984992814090366,"score_spread":0.06508209039784751,"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."}}