{"id":"W2008489469","doi":"10.1016/j.jmva.2014.03.002","title":"Multivariate Skew-Normal Generalized Hyperbolic distribution and its properties","year":2014,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Inverse Gaussian distribution; Generalized inverse Gaussian distribution; Inverse distribution; Normal-inverse Gaussian distribution; Mathematics; Skewness; Laplace distribution; Variance-gamma distribution; Exponential family; Heavy-tailed distribution; Generalized normal distribution; Generalized integer gamma distribution; Skew normal distribution; Gaussian; Multivariate normal distribution; Skew; Natural exponential family; Generalized inverse; Context (archaeology); Kurtosis; Distribution (mathematics); Mathematical analysis; Inverse; Normal distribution; Laplace transform; Multivariate statistics; Applied mathematics; Gaussian process; Statistics; Asymptotic distribution; Gaussian random field; Geometry; Physics; Estimator","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003220553,0.0008488715,0.001328064,0.002278578,0.0009456888,0.001925172,0.002304195,0.00101669,0.005164275],"category_scores_gemma":[0.01943593,0.0005776996,0.001230443,0.002636319,0.00323583,0.0032602,0.002361342,0.002729764,0.000973836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001369957,"about_ca_system_score_gemma":0.001626623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003862571,"about_ca_topic_score_gemma":0.001746838,"domain_scores_codex":[0.9988411,0.0003751803,0.00005928104,0.0002621186,0.0003481838,0.0001141932],"domain_scores_gemma":[0.988041,0.005910798,0.001584881,0.001164865,0.002288923,0.001009471],"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":[0.0001244512,0.00004786857,0.005090937,0.00009685415,0.00005426185,0.0003252493,0.0005439047,0.02182435,0.002768893,0.9493493,0.002157727,0.01761625],"study_design_scores_gemma":[0.0000462877,0.00006721346,0.002571236,0.00002954132,0.00004539319,0.00116639,0.0002818246,0.2436037,0.0009819822,0.7472235,0.003904235,0.00007875034],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1484115,0.001622364,0.8381481,0.00105428,0.0001410737,0.0000895472,0.0005514763,0.0003440928,0.009637663],"genre_scores_gemma":[0.927378,0.002157542,0.05234365,0.0003916683,0.0004751293,0.0001897403,0.0008643827,0.0002414163,0.01595843],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005164275,"threshold_uncertainty_score":0.01727617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05750313142699318,"score_gpt":0.3363548129815499,"score_spread":0.2788516815545567,"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."}}