{"id":"W4249826780","doi":"10.1111/1467-9469.00223","title":"Likelihood Asymptotics","year":2001,"lang":"en","type":"article","venue":"Scandinavian Journal of Statistics","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Ottawa Mental Health Centre","funders":"","keywords":"Mathematics; Applied mathematics; Laplace's method; Generalization; Parametric statistics; Statistic; Likelihood-ratio test; Asymptotic analysis; Statistical hypothesis testing; Test statistic; Likelihood principle; Computation; Inference; Marginal likelihood; Laplace transform; Likelihood function; Estimation theory; Maximum likelihood; Statistics; Algorithm; Mathematical analysis; Computer science; Quasi-maximum likelihood; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005892119,0.0001302842,0.0002551018,0.0001504297,0.00008383118,0.0001359803,0.000691672,0.00005497773,0.00003570922],"category_scores_gemma":[0.0001082994,0.0001075165,0.00007375231,0.0002988055,0.00004692014,0.0003098185,0.000066229,0.0002602838,0.00001540843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000519004,"about_ca_system_score_gemma":0.0001256628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002360513,"about_ca_topic_score_gemma":0.000001687039,"domain_scores_codex":[0.9986476,0.0000992013,0.000453283,0.0001340989,0.0003637408,0.0003020989],"domain_scores_gemma":[0.9986493,0.0001299483,0.0003494087,0.000270714,0.0003258858,0.0002747625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000227286,0.00009575835,0.003288624,0.00001551332,0.00005177858,0.001056194,0.0006276654,0.00001582025,0.0001595154,0.3480384,0.0131619,0.6334661],"study_design_scores_gemma":[0.001296148,0.0009712352,0.008228043,0.0001843355,0.00007049285,0.003712571,0.00004622398,0.00940287,0.0004183064,0.9618265,0.01342818,0.0004150925],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009550209,0.0002930677,0.9951751,0.0004734105,0.0008459304,0.00004162541,0.00001263857,0.00001594331,0.002187285],"genre_scores_gemma":[0.1272126,0.0002833522,0.8718057,0.0002309031,0.0002164618,3.339431e-7,7.133638e-7,0.00001021568,0.0002396897],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.633051,"threshold_uncertainty_score":0.4384394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01240405222427752,"score_gpt":0.2602093939982498,"score_spread":0.2478053417739723,"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."}}