{"id":"W2119871732","doi":"10.1007/s11009-009-9157-z","title":"Quantitative Non-Geometric Convergence Bounds for Independence Samplers","year":2009,"lang":"en","type":"article","venue":"Methodology And Computing In Applied Probability","topic":"Markov Chains and Monte Carlo Methods","field":"Mathematics","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Ergodic theory; Mathematics; Independence (probability theory); Convergence (economics); Markov chain; Upper and lower bounds; Simple (philosophy); Applied mathematics; Markov chain Monte Carlo; Pure mathematics; Mathematical analysis; Statistics; Monte Carlo method","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":[0.01254913,0.0002294837,0.0006436615,0.000189683,0.0001966207,0.00002402817,0.0002413132,0.0002652296,0.000004883639],"category_scores_gemma":[0.004362741,0.0002148597,0.00008103298,0.00055632,0.0002400144,0.00003420084,0.000093305,0.0003807246,6.556045e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000645145,"about_ca_system_score_gemma":0.00006611005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003018898,"about_ca_topic_score_gemma":0.00002874085,"domain_scores_codex":[0.9973666,0.0008244695,0.000565296,0.0006563247,0.0001455087,0.0004417741],"domain_scores_gemma":[0.9876766,0.01157516,0.0002196149,0.0003392989,0.0001058524,0.0000835083],"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":[0.0009048807,0.0003393443,0.01047303,0.0005414319,0.00004760002,0.000003578244,0.003616191,0.00030916,0.004481918,0.8386026,0.0001295989,0.1405507],"study_design_scores_gemma":[0.001111662,0.0004399523,0.01402343,0.00003341818,0.00003232299,0.00001066145,0.0005088948,0.01243276,0.003022623,0.9678894,0.0001404388,0.000354472],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4038319,0.00006415478,0.5938748,0.00008842476,0.0001348902,0.0006566162,0.000002795214,0.00004047804,0.001305994],"genre_scores_gemma":[0.4731384,0.000004929174,0.5266603,0.0001253816,0.00002003366,0.00002758961,0.000001427949,0.000006091369,0.00001582082],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1401962,"threshold_uncertainty_score":0.8761724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2742685808816141,"score_gpt":0.4344114160763276,"score_spread":0.1601428351947135,"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."}}