{"id":"W2339698439","doi":"10.5539/ijsp.v5n3p49","title":"Bayesian Sequential Estimation of the Inverse of the Pareto Shape Parameter","year":2016,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics; Regret; Inverse; Applied mathematics; Mathematical optimization; Bayes' theorem; Bayes estimator; Bayesian probability; Prior probability; Shape parameter; Random variable; Pareto principle; Statistics","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":[0.00751281,0.001223948,0.002360394,0.001199261,0.0005706659,0.001783955,0.002580154,0.001608087,0.002767922],"category_scores_gemma":[0.022468,0.001326263,0.001374334,0.001220125,0.002228569,0.002670978,0.003138799,0.003180868,0.0007926604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001851712,"about_ca_system_score_gemma":0.004291547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003853939,"about_ca_topic_score_gemma":0.004309606,"domain_scores_codex":[0.9973791,0.001081981,0.0001193315,0.0005228538,0.0006516635,0.0002450531],"domain_scores_gemma":[0.9898795,0.007306413,0.000964333,0.0007497813,0.0007718354,0.0003281631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005300629,0.0002028781,0.003207636,0.0002509409,0.0001630091,0.0002306648,0.0001644828,0.7024093,0.006250476,0.1753693,0.002631561,0.1085897],"study_design_scores_gemma":[0.00003405688,0.00006375722,0.0005179173,0.0000278575,0.00001630622,0.00008044041,0.00001336155,0.9231411,0.001581646,0.0738945,0.0005992651,0.00002984769],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007871174,0.00008024581,0.9911551,0.0001753067,0.0000138028,0.00002737336,0.00003577623,0.0001061389,0.0005349289],"genre_scores_gemma":[0.3893551,0.0006924553,0.6020861,0.0003363649,0.0001631805,0.0004232719,0.0005874938,0.0002340337,0.006122041],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00751281,"threshold_uncertainty_score":0.03973198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06322010806638798,"score_gpt":0.357195628447122,"score_spread":0.293975520380734,"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."}}