{"id":"W1926406141","doi":"10.1111/sjos.12119","title":"A Class of Pseudolikelihood Ratio Tests for Homogeneity in Exponential Tilt Mixture Models","year":2014,"lang":"en","type":"article","venue":"Scandinavian Journal of Statistics","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Agency for Healthcare Research and Quality","keywords":"Mathematics; Exponential family; Homogeneity (statistics); Infimum and supremum; Statistics; Pairwise comparison; Null distribution; Likelihood-ratio test; Null (SQL); Score test; Asymptotic distribution; Exponential function; Null hypothesis; Applied mathematics; Statistical hypothesis testing; Combinatorics; Test statistic; Mathematical analysis; Computer science","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":[0.001151346,0.0001706009,0.0004746299,0.0002350169,0.00005843815,0.00006436318,0.0006518455,0.0001029778,0.000004234028],"category_scores_gemma":[0.0002332168,0.0001476551,0.0001174208,0.0002503393,0.00006501075,0.0003480283,0.00006376988,0.0002386843,5.723552e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004844961,"about_ca_system_score_gemma":0.0001627091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009399967,"about_ca_topic_score_gemma":0.00002141107,"domain_scores_codex":[0.9981991,0.0002119093,0.0007423042,0.0002079666,0.0003464576,0.0002922769],"domain_scores_gemma":[0.9981403,0.0003318022,0.0006033575,0.0003106763,0.0004440558,0.0001698359],"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":[0.0001697789,0.0002817306,0.0014199,0.0001902804,0.00006439747,0.00004865053,0.001752295,0.00114363,0.006336235,0.837535,0.004784211,0.1462739],"study_design_scores_gemma":[0.002029827,0.000815059,0.002512562,0.000224265,0.00004892636,0.0001399911,0.00001751178,0.2617868,0.003208394,0.7287653,0.000204758,0.000246643],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007218841,0.0001681493,0.9914709,0.0002046601,0.0005083493,0.000172224,0.00009390054,0.000006980999,0.0001559906],"genre_scores_gemma":[0.4573794,0.00002369564,0.5423961,0.00005259172,0.0001066995,0.000002719505,0.000002082443,0.00000894001,0.00002775152],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4501606,"threshold_uncertainty_score":0.6021202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02400158600516321,"score_gpt":0.2853865362635478,"score_spread":0.2613849502583845,"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."}}