{"id":"W2014728277","doi":"10.5539/ijsp.v2n2p47","title":"The Bayes Premium in an Aggregate Loss Poisson-Lindley Model with Structure Function STSP","year":2013,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poisson distribution; Overdispersion; Mathematics; Bayes' theorem; Zero-inflated model; Compound Poisson distribution; Statistics; Compound probability distribution; Random variable; Bayes factor; Prior probability; Econometrics; Bayesian probability; Applied mathematics; Count data; Probability distribution; Poisson regression; Distribution fitting","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008854901,0.001266987,0.002516537,0.001757067,0.0006507483,0.002866125,0.002693375,0.002774303,0.004856966],"category_scores_gemma":[0.01933469,0.0007032308,0.001311039,0.001168696,0.002477688,0.004468575,0.002021236,0.002671691,0.0006239533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001955862,"about_ca_system_score_gemma":0.00142354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00397758,"about_ca_topic_score_gemma":0.002072572,"domain_scores_codex":[0.9974801,0.0008666896,0.000117878,0.0005190402,0.0006721477,0.0003441186],"domain_scores_gemma":[0.9891645,0.008168323,0.001153841,0.0004022338,0.0006920251,0.0004190265],"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":[0.0001399349,0.0001086645,0.004399924,0.0001683449,0.00007811121,0.0006442777,0.0004089205,0.1909041,0.001293521,0.7775789,0.003106072,0.0211692],"study_design_scores_gemma":[0.00002988708,0.00005631976,0.001114551,0.00003975555,0.00004767232,0.0002779739,0.00007127393,0.711403,0.0002555097,0.2857348,0.0009282815,0.00004101068],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1146553,0.001281731,0.87,0.002763316,0.0001305048,0.0001114459,0.0004153487,0.0002453422,0.01039703],"genre_scores_gemma":[0.9239684,0.001669276,0.05518687,0.0004898672,0.000429442,0.0002775575,0.000363515,0.00009933703,0.01751581],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008854901,"threshold_uncertainty_score":0.0468297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03990329423465602,"score_gpt":0.3303631458764654,"score_spread":0.2904598516418093,"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."}}