{"id":"W3123357942","doi":"10.2139/ssrn.3133077","title":"Negative Binomial Autoregressive Process","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University; Center for Interuniversity Research and Analysis on Organizations; University of Toronto","funders":"","keywords":"Autoregressive model; Mathematics; Univariate; SETAR; Negative binomial distribution; STAR model; Bivariate analysis; Estimator; Econometrics; Statistics; Wishart distribution; Overdispersion; Autoregressive integrated moving average; Applied mathematics; Time series; Multivariate statistics; Poisson distribution","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003791978,0.0009579075,0.001712963,0.001760623,0.000776077,0.002525799,0.001972739,0.002687699,0.0144827],"category_scores_gemma":[0.01739652,0.0006323764,0.001060702,0.001979052,0.001909459,0.003351255,0.00130076,0.003013217,0.005803952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008847656,"about_ca_system_score_gemma":0.0009682379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002417219,"about_ca_topic_score_gemma":0.001952042,"domain_scores_codex":[0.9979489,0.0006665989,0.00009353553,0.0005426605,0.0005244093,0.0002239136],"domain_scores_gemma":[0.9920988,0.004654935,0.00103405,0.000656478,0.001287976,0.0002678406],"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":[0.0001549112,0.0001424432,0.007833126,0.0001858436,0.0001002471,0.001263655,0.0003959126,0.05332379,0.003278368,0.894686,0.007212323,0.03142334],"study_design_scores_gemma":[0.00007758928,0.0001670591,0.006378406,0.00009962339,0.0001935972,0.002221905,0.0001868783,0.6154841,0.001569406,0.3585736,0.01490574,0.0001420522],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1045798,0.00155067,0.8609862,0.002517044,0.0009491019,0.0001868676,0.00111271,0.0008616248,0.02725597],"genre_scores_gemma":[0.831121,0.002544114,0.05275116,0.0008453176,0.0008136837,0.0003835111,0.001674879,0.0001842075,0.1096821],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0144827,"threshold_uncertainty_score":0.04844946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03146420695060119,"score_gpt":0.3717411777322929,"score_spread":0.3402769707816917,"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."}}