{"id":"W2600631485","doi":"10.1007/s11009-017-9555-6","title":"Conditional, Non-Homogeneous and Doubly Stochastic Compound Poisson Processes with Stochastic Discounted Claims","year":2017,"lang":"en","type":"article","venue":"Methodology And Computing In Applied Probability","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Mathematics; Conditional expectation; Poisson distribution; Homogeneous; Compound Poisson process; Applied mathematics; Continuous-time stochastic process; Stochastic process; Moment (physics); Conditional probability distribution; Poisson process; Mathematical economics; Econometrics; Stochastic differential equation; Statistics; Combinatorics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.01000597,0.0003543684,0.0008909047,0.0001594505,0.001303708,0.000417057,0.0008128982,0.0002580387,0.00001742364],"category_scores_gemma":[0.00431945,0.0002490058,0.00004370025,0.0002664524,0.002531415,0.0002079551,0.0005838265,0.0005105554,0.00000752685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005452245,"about_ca_system_score_gemma":0.0002787675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009099508,"about_ca_topic_score_gemma":0.001062506,"domain_scores_codex":[0.9959763,0.0007142333,0.0008158878,0.001423198,0.000558329,0.0005120247],"domain_scores_gemma":[0.9889104,0.008995646,0.0005937942,0.001036659,0.0002888183,0.000174721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.008315747,0.001890475,0.110017,0.001346641,0.0003013081,0.00008572581,0.01615609,0.6653111,0.001489962,0.1162065,0.0001139566,0.07876539],"study_design_scores_gemma":[0.001550593,0.0001800658,0.09464435,0.00007810994,0.00003709253,0.0001385907,0.0002983726,0.04845245,0.0000869541,0.854138,0.00001492917,0.0003805505],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5480887,0.00009514466,0.4503996,0.0004882279,0.00008302898,0.0006192231,0.00001331767,0.0000307589,0.0001820034],"genre_scores_gemma":[0.9501985,0.000003583028,0.04951529,0.0001156676,0.0000632545,0.00005774689,0.000008198755,0.00001423795,0.00002346328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7379314,"threshold_uncertainty_score":0.9999965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2080724512363402,"score_gpt":0.4087445289561941,"score_spread":0.2006720777198538,"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."}}