{"id":"W1975194165","doi":"10.1111/1467-9574.00125","title":"Least squares, preliminary test and Stein‐type estimation in general vector <i>AR</i>(<i>p</i>) models","year":2000,"lang":"en","type":"article","venue":"Statistica Neerlandica","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Mathematics; Autoregressive model; Estimator; Statistics; Applied mathematics; Type (biology); Multivariate statistics; Least-squares function approximation; Estimation; Likelihood-ratio test","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":[0.007525093,0.0007093603,0.0007401095,0.001050368,0.0002733568,0.0007718579,0.0008292533,0.0007648771,0.001083778],"category_scores_gemma":[0.0374109,0.0004059498,0.0005716763,0.0009873384,0.001876619,0.001662635,0.001449649,0.0008244583,0.0002403015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004610427,"about_ca_system_score_gemma":0.001205888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001318581,"about_ca_topic_score_gemma":0.001434018,"domain_scores_codex":[0.9975271,0.001498227,0.00009903513,0.0002889155,0.000496558,0.00009015455],"domain_scores_gemma":[0.9876513,0.009136667,0.001114953,0.0009478766,0.0009629027,0.0001862839],"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":[0.0002748661,0.0001011932,0.01034554,0.0003274347,0.0002062013,0.0005858495,0.0005404873,0.2206696,0.007323967,0.5267082,0.002472602,0.230444],"study_design_scores_gemma":[0.00003406117,0.0003180152,0.006008684,0.00005989152,0.0000482744,0.0003235957,0.0001452041,0.6760231,0.004251822,0.3097261,0.002996902,0.00006437008],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0422482,0.0005056739,0.9554317,0.0002209347,0.00001481382,0.00002437239,0.00004827018,0.00006912406,0.001436907],"genre_scores_gemma":[0.6233913,0.001201652,0.3698132,0.000164363,0.0001252866,0.0002464431,0.0003000803,0.00007421692,0.004683465],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007525093,"threshold_uncertainty_score":0.03979695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03888160437707742,"score_gpt":0.3217836367226706,"score_spread":0.2829020323455931,"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."}}