{"id":"W1856971276","doi":"10.1111/sjos.12166","title":"A class of Stein‐rules in multivariate regression model with structural changes","year":2015,"lang":"en","type":"article","venue":"Scandinavian Journal of Statistics","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Estimator; Multivariate statistics; Applied mathematics; Class (philosophy); Statistics; Limit (mathematics); Central limit theorem; Regression; Econometrics; Linear regression; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005380474,0.0001257647,0.0004910507,0.0002819794,0.00003094592,0.00002162047,0.0001571614,0.00006845956,0.000009976167],"category_scores_gemma":[0.0002056669,0.0001042589,0.00003452588,0.0001441573,0.00007051606,0.0001676805,0.00002626844,0.0002158323,0.000002522604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001170136,"about_ca_system_score_gemma":0.00008542166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001924447,"about_ca_topic_score_gemma":0.0001897764,"domain_scores_codex":[0.9988647,0.00001984015,0.0006898781,0.0001352924,0.00009655982,0.0001937167],"domain_scores_gemma":[0.9986367,0.00004165157,0.000876871,0.0001274419,0.0001989178,0.0001184109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00235699,0.0002225424,0.5859322,0.0002875075,0.0001199855,0.000168853,0.0183133,0.08433062,0.0001391645,0.2869925,0.0009390957,0.02019726],"study_design_scores_gemma":[0.003137075,0.0008796228,0.0450085,0.0005349545,0.00001928183,0.00003107084,0.0005775937,0.7128665,0.0001038236,0.2364172,0.0001448589,0.0002795669],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8230819,0.0008106639,0.1748932,0.0001195538,0.0001813224,0.00008005861,0.0005558463,0.00000294756,0.0002745215],"genre_scores_gemma":[0.9247727,0.00009973719,0.07497363,0.00001270729,0.00004918969,9.00431e-7,0.000006668605,0.00001439943,0.00007003728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6285359,"threshold_uncertainty_score":0.4251553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07029981958623269,"score_gpt":0.2729751702678577,"score_spread":0.202675350681625,"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."}}