{"id":"W4417262175","doi":"10.1002/sta4.70125","title":"High‐Dimensional Regression With Missing Data: An Asymptotic Study","year":2025,"lang":"en","type":"article","venue":"Stat","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Missing data; Regression; Hyperparameter; Regression analysis; Linear regression; Asymptotic analysis; Ridge","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":[0.03349595,0.001322527,0.001707619,0.001630282,0.0008891484,0.001562088,0.003713225,0.001960413,0.003453195],"category_scores_gemma":[0.1421366,0.0009099252,0.001634242,0.001485649,0.005054331,0.004364184,0.005180581,0.006964033,0.0007606681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001847831,"about_ca_system_score_gemma":0.001793847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002656408,"about_ca_topic_score_gemma":0.002006912,"domain_scores_codex":[0.9909788,0.00560419,0.0002766551,0.0008678668,0.001874728,0.000397653],"domain_scores_gemma":[0.8770363,0.1023729,0.004583779,0.009524243,0.005422337,0.001060429],"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":[0.0001878796,0.0002600822,0.009097757,0.0004851686,0.0003042896,0.0007706527,0.0004238303,0.471927,0.003113185,0.4480594,0.007026026,0.05834468],"study_design_scores_gemma":[0.00001080421,0.00004250505,0.0009418461,0.00008015937,0.00002154512,0.000130604,0.00004415984,0.8940924,0.0007318182,0.1027243,0.001159891,0.00001988457],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009884985,0.000703579,0.9867058,0.0007970156,0.00005100775,0.00002489732,0.00005762158,0.0002278571,0.001547188],"genre_scores_gemma":[0.7189057,0.002854868,0.2670254,0.001397864,0.0009103562,0.0005601035,0.0007886945,0.0006390754,0.006917819],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03349595,"threshold_uncertainty_score":0.1771456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1447456243375957,"score_gpt":0.4486334218777271,"score_spread":0.3038877975401315,"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."}}