{"id":"W2066134817","doi":"10.1111/rssb.12011","title":"Asymptotics of the Discrete Log-Concave Maximum Likelihood Estimator and Related Applications","year":2013,"lang":"en","type":"article","venue":"Journal of the Royal Statistical Society Series B (Statistical Methodology)","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Pointwise; Mathematics; Estimator; Likelihood function; Statistics; Confidence interval; Probability mass function; Maximum likelihood; Function (biology); Applied mathematics; Probability distribution; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.02065174,0.0008019598,0.001151661,0.001919891,0.0006510299,0.001967099,0.002770978,0.001423502,0.004536952],"category_scores_gemma":[0.1554185,0.0005948356,0.001026547,0.001803647,0.004800262,0.003033467,0.002915923,0.003405675,0.0008244445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002418735,"about_ca_system_score_gemma":0.002156806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006164886,"about_ca_topic_score_gemma":0.003536619,"domain_scores_codex":[0.9939604,0.004155986,0.0001757945,0.0004979109,0.00101208,0.0001977288],"domain_scores_gemma":[0.8738332,0.1121462,0.004002955,0.00419448,0.005141028,0.0006822646],"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":[0.0001234357,0.0001013135,0.01197727,0.0003610509,0.0001311535,0.0006824388,0.0006315694,0.2071507,0.00160584,0.7186371,0.004235113,0.05436293],"study_design_scores_gemma":[0.00003736236,0.00004497525,0.002956588,0.000114622,0.00002438764,0.0003064587,0.0001304212,0.6636271,0.0006475605,0.329389,0.002685168,0.0000362652],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01666359,0.0009375314,0.9767794,0.001210064,0.00004154928,0.00006399963,0.0001319998,0.000182306,0.003989499],"genre_scores_gemma":[0.7079168,0.002484232,0.2797253,0.0008002915,0.0005048885,0.0004841362,0.0007421741,0.0004185283,0.006923595],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02065174,"threshold_uncertainty_score":0.1092182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04940984860205585,"score_gpt":0.3417216975367873,"score_spread":0.2923118489347314,"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."}}