{"id":"W4415691264","doi":"10.1002/cjs.70027","title":"Fourier methods for efficient sufficient dimension reduction in time series","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Estimator; Variance reduction; Fourier series; Context (archaeology); Linear subspace; Dimension (graph theory); Series (stratigraphy); Variance (accounting); Reduction (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008682029,0.00108304,0.001581457,0.003004529,0.0006642852,0.001516129,0.001577085,0.0012252,0.004047159],"category_scores_gemma":[0.03232368,0.00069515,0.001716097,0.001856238,0.001721724,0.002270727,0.002352791,0.003754862,0.0009990685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000960594,"about_ca_system_score_gemma":0.002543008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004073777,"about_ca_topic_score_gemma":0.004268834,"domain_scores_codex":[0.9972998,0.001521806,0.0001669927,0.0002797681,0.0005910983,0.0001404019],"domain_scores_gemma":[0.9811498,0.01549276,0.0007322719,0.00114489,0.001261552,0.0002186692],"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":[0.0003292034,0.0002056101,0.002667532,0.0005513857,0.0002937348,0.0002703161,0.0003905187,0.51553,0.005550655,0.2590549,0.008827336,0.2063288],"study_design_scores_gemma":[0.00001655244,0.0000199454,0.000310632,0.00002958989,0.00001071525,0.00002600531,0.00001925804,0.9550215,0.000682531,0.0424711,0.00137586,0.00001644935],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004483773,0.0003960613,0.9940324,0.0001971462,0.00003735165,0.00004313555,0.0001286425,0.0001972244,0.0004842771],"genre_scores_gemma":[0.1527199,0.001093213,0.8401741,0.0002856338,0.0002733177,0.0007034083,0.001209038,0.000458567,0.003082709],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008682029,"threshold_uncertainty_score":0.04591548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05470180738943878,"score_gpt":0.3767962673236666,"score_spread":0.3220944599342278,"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."}}