{"id":"W2991432082","doi":"10.3390/jrfm12040171","title":"An Universal, Simple, Circular Statistics-Based Estimator of α for Symmetric Stable Family","year":2019,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Indian Statistical Institute; University of Calcutta; University Grants Commission","keywords":"Estimator; Mathematics; Cauchy distribution; Consistency (knowledge bases); Statistics; Distribution (mathematics); Simple (philosophy); Applied mathematics; Laplace transform; Range (aeronautics); Heavy-tailed distribution; Laplace distribution; Probability distribution; Mathematical analysis; Discrete mathematics","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":[0.004316483,0.0006039332,0.0009111879,0.002015211,0.0004443641,0.001057803,0.001030211,0.0008935669,0.001295836],"category_scores_gemma":[0.02639853,0.0003102468,0.0006382953,0.001313902,0.001099182,0.002002014,0.001101738,0.00116587,0.0007763555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005001843,"about_ca_system_score_gemma":0.001028732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007713906,"about_ca_topic_score_gemma":0.0006668653,"domain_scores_codex":[0.9985542,0.0004824188,0.00009062521,0.0003991447,0.0003810333,0.00009263562],"domain_scores_gemma":[0.9902918,0.005347238,0.001221851,0.001256997,0.001629337,0.0002528109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005115286,0.0002026573,0.04858729,0.0004183504,0.0003085462,0.0005272884,0.0004304161,0.1973755,0.05828996,0.1927414,0.004793737,0.4958134],"study_design_scores_gemma":[0.00003355523,0.0001656115,0.009095139,0.00008606276,0.00005683532,0.000840534,0.000103449,0.9106023,0.01397949,0.06180304,0.003128901,0.0001049437],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01738191,0.0001645122,0.9816563,0.00003842267,0.00001636193,0.00002124566,0.0000576605,0.0001906067,0.0004729962],"genre_scores_gemma":[0.4939146,0.0005768913,0.5030376,0.0001262258,0.0001331426,0.0001489523,0.0007193167,0.0002281845,0.001115155],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004316483,"threshold_uncertainty_score":0.02282798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01598708632098458,"score_gpt":0.2228509580317385,"score_spread":0.2068638717107539,"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."}}