{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001354877,0.0001792091,0.0002869792,0.0001183932,0.00035834,0.00001402262,0.0001876162,0.00008179116,0.0000626594],"category_scores_gemma":[0.0001720091,0.0001690429,0.00008934523,0.0002400478,0.000541072,0.000414571,0.00007332133,0.0001524255,0.000007990774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001961737,"about_ca_system_score_gemma":0.0001833446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001515615,"about_ca_topic_score_gemma":0.00001097142,"domain_scores_codex":[0.9987828,0.0001141151,0.0002605626,0.0003046896,0.0003329537,0.0002048434],"domain_scores_gemma":[0.9988236,0.0003415337,0.0002495519,0.0002390951,0.0002183272,0.0001278345],"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":[0.0004275283,0.0002017311,0.003906508,0.0001083737,0.0001347979,0.0007357818,0.000480637,0.0007360522,0.0005640923,0.9912798,0.00002247621,0.001402213],"study_design_scores_gemma":[0.01526491,0.001533966,0.03718396,0.003436239,0.002829444,0.003275302,0.004065478,0.0613986,0.04741717,0.81558,0.003947405,0.004067511],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1860534,0.000004600306,0.7327536,0.000004852764,0.000119687,0.0001551827,0.00001859678,0.00005993888,0.08083013],"genre_scores_gemma":[0.508173,0.000002140923,0.4907361,0.000006109804,0.00001123511,0.000001251345,0.000004219964,0.000008700577,0.001057233],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3221196,"threshold_uncertainty_score":0.6893369,"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."}}