{"id":"W2902706001","doi":"10.1137/18m1183017","title":"Two Metropolis--Hastings Algorithms for Posterior Measures with Non-Gaussian Priors in Infinite Dimensions","year":2019,"lang":"en","type":"preprint","venue":"SIAM/ASA Journal on Uncertainty Quantification","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Prior probability; Mathematics; Autoregressive model; Applied mathematics; Bessel function; Metropolis–Hastings algorithm; Algorithm; Gaussian; Context (archaeology); Mathematical optimization; Markov chain Monte Carlo; Statistics; Mathematical analysis; Bayesian probability","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003156124,0.0006888158,0.001214532,0.0007592358,0.0003113052,0.0004402502,0.0006616081,0.0004036514,0.00006248752],"category_scores_gemma":[0.004925278,0.0005120566,0.0002981614,0.0004183682,0.0001861011,0.0001409748,0.0001595926,0.001893727,0.00003181015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005414644,"about_ca_system_score_gemma":0.0006956315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002239548,"about_ca_topic_score_gemma":0.0001466473,"domain_scores_codex":[0.9952445,0.0005511946,0.001629325,0.0009102852,0.0009478746,0.0007167986],"domain_scores_gemma":[0.9926343,0.003219427,0.001806509,0.0009922873,0.001038532,0.000308945],"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":[0.008392219,0.003950913,0.007159771,0.005257713,0.001987309,0.0002207639,0.01058327,0.06189633,0.02532569,0.5700455,0.004796272,0.3003843],"study_design_scores_gemma":[0.01023876,0.004029957,0.01474857,0.01397942,0.001178714,0.0003239908,0.003624652,0.247934,0.005127226,0.6915507,0.003377854,0.003886051],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.206139,0.0001449899,0.7861624,0.001487264,0.001816736,0.002815461,0.0003946263,0.00008867818,0.0009508148],"genre_scores_gemma":[0.5952201,0.00009215742,0.4035209,0.0002189493,0.0003391491,0.0001873206,0.00009745535,0.0001198389,0.0002041865],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3890811,"threshold_uncertainty_score":0.9997331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1407875916204562,"score_gpt":0.4075849292606868,"score_spread":0.2667973376402306,"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."}}