{"id":"W2288730101","doi":"10.1109/cdc.2015.7402363","title":"On the generation of conditional densities in nonlinear filtering for McKean-Vlasov systems","year":2015,"lang":"en","type":"article","venue":"","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Conditional probability distribution; Nonlinear system; Measure (data warehouse); Applied mathematics; Mathematics; Term (time); Conditional expectation; Stochastic differential equation; State (computer science); Stochastic process; Mathematical optimization; Computer science; Algorithm; Physics; Statistics","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":[0.00734656,0.001190841,0.001871871,0.001764933,0.001037014,0.002535021,0.00185322,0.002798016,0.002519408],"category_scores_gemma":[0.03138892,0.0011693,0.001777171,0.001386642,0.004674811,0.00414774,0.0028419,0.00242251,0.0002534189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003106953,"about_ca_system_score_gemma":0.00177833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01409219,"about_ca_topic_score_gemma":0.005911621,"domain_scores_codex":[0.9982364,0.0008233752,0.0000850404,0.0003381398,0.0003278971,0.0001891269],"domain_scores_gemma":[0.9796246,0.01662366,0.001561555,0.0004869876,0.001175676,0.0005275616],"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":[0.0000576365,0.00004496044,0.001331821,0.000120215,0.0000685676,0.000148409,0.000321372,0.3476954,0.0009309501,0.6407377,0.0008165066,0.00772642],"study_design_scores_gemma":[0.000008027167,0.000009514205,0.000189904,0.00001462495,0.00000814033,0.00001351932,0.00001324359,0.9084519,0.0001489752,0.0909185,0.000205194,0.00001850568],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03293135,0.0005757606,0.9621275,0.001075705,0.00006926124,0.0000485915,0.0001088749,0.00008337261,0.002979659],"genre_scores_gemma":[0.8638233,0.002172112,0.1203068,0.0006528783,0.0005597624,0.0003699031,0.0005675092,0.0001716154,0.01137611],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01409219,"threshold_uncertainty_score":0.03885275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1489657629225467,"score_gpt":0.2539550003583286,"score_spread":0.104989237435782,"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."}}