{"id":"W2314467091","doi":"","title":"NONCONCAVE PENALIZED M-ESTIMATION WITH A DIVERGING NUMBER OF PARAMETERS","year":2011,"lang":"en","type":"article","venue":"HKBU Institutional Repository (Hong Kong Baptist University)","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Mathematics; Estimator; Outlier; Asymptotic distribution; Consistency (knowledge bases); Statistics; Applied mathematics; Rank (graph theory); Sample size determination; Independence (probability theory); Dimension (graph theory); Linear regression; Statistical inference; Combinatorics; Discrete mathematics","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":[0.01642867,0.001835683,0.002632056,0.001858574,0.000860676,0.001306777,0.003124842,0.002644249,0.001859241],"category_scores_gemma":[0.07364279,0.001376614,0.001704933,0.001907951,0.002696066,0.00304012,0.002803297,0.003500631,0.0007862067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008207365,"about_ca_system_score_gemma":0.00172355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001992517,"about_ca_topic_score_gemma":0.002036191,"domain_scores_codex":[0.9900997,0.007085264,0.0004669951,0.001109226,0.001026867,0.0002118616],"domain_scores_gemma":[0.9522462,0.03766028,0.003390343,0.00449329,0.001906805,0.000302983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005308172,0.0002242205,0.009004476,0.0009248253,0.0008799836,0.0005307018,0.0003994594,0.6044531,0.006051705,0.1429389,0.004102908,0.2299589],"study_design_scores_gemma":[0.00002604022,0.00009204762,0.000869735,0.00005052994,0.00003346466,0.0001258091,0.00001955961,0.9731129,0.001752713,0.02228922,0.001585672,0.00004228454],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002848448,0.0001793466,0.9965414,0.0000897033,0.00001477941,0.00003489635,0.0000205249,0.0001217357,0.0001491653],"genre_scores_gemma":[0.1471971,0.0005685168,0.8488624,0.0003776245,0.0001447173,0.0005297734,0.0003713795,0.000174202,0.001774195],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01642867,"threshold_uncertainty_score":0.08688414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08722958525352947,"score_gpt":0.3137241355527394,"score_spread":0.2264945502992099,"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."}}