{"id":"W2007093222","doi":"10.1002/cjs.5550330409","title":"A note on nonexistence of posterior moments","year":2005,"lang":"es","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Foundation for the National Institutes of Health; National Science Foundation","keywords":"Prior probability; Posterior probability; Conjugate prior; Mathematics; Bayesian probability; Moment (physics); Posterior predictive distribution; Applied mathematics; Weibull distribution; Distribution (mathematics); Statistics; Matching (statistics); Bayesian inference; Bayesian linear regression; Mathematical analysis; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002547594,0.0001921829,0.0004152257,0.0002580812,0.0001353843,0.00008497902,0.0002976258,0.0001029222,0.001210085],"category_scores_gemma":[0.001822486,0.0001928223,0.00008601249,0.0002270303,0.0002774213,0.00007538445,0.00001107415,0.0002852599,0.0002067636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003600354,"about_ca_system_score_gemma":0.001362389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001976138,"about_ca_topic_score_gemma":0.0008216638,"domain_scores_codex":[0.9980022,0.00006165151,0.00110413,0.0001278226,0.0003880262,0.0003161093],"domain_scores_gemma":[0.9965397,0.0006743668,0.0009131081,0.0002503657,0.0008056833,0.0008167968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003314632,0.0001627654,0.0002717686,0.0002134033,0.00006834659,0.00006504636,0.0005945708,0.000157952,0.0001385419,0.9468588,0.02353406,0.02790157],"study_design_scores_gemma":[0.01131625,0.005851214,0.1788086,0.008631397,0.003030734,0.001484808,0.002067677,0.07506444,0.007144772,0.3013687,0.4019117,0.003319714],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02136414,0.0001640831,0.9405156,0.00369385,0.0004197214,0.0003629824,0.02877094,0.000007778575,0.00470088],"genre_scores_gemma":[0.8724861,0.00003267057,0.1266297,0.0003251504,0.0001350862,0.000002601591,0.000047052,0.00002368078,0.0003179465],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.851122,"threshold_uncertainty_score":0.9997029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04869209116353402,"score_gpt":0.3338886845690059,"score_spread":0.2851965934054719,"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."}}