{"id":"W186403726","doi":"","title":"The Oxford Handbook of Nonlinear Filtering","year":2011,"lang":"en","type":"book","venue":"RePEc: Research Papers in Economics","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":153,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics; Filtering problem; Nonlinear system; Lipschitz continuity; Nonlinear filter; Applied mathematics; Particle filter; Brownian motion; Stochastic differential equation; Kalman filter; Discretization; Exponential stability; Control theory (sociology); Filter (signal processing); Mathematical analysis; Extended Kalman filter; Computer science; Filter design","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001456184,0.001874525,0.001787276,0.003558772,0.000831074,0.003382833,0.001570634,0.002985178,0.1165892],"category_scores_gemma":[0.005193027,0.0008155315,0.0009500482,0.004300696,0.001376271,0.004151299,0.001819192,0.003925854,0.08565515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001642659,"about_ca_system_score_gemma":0.002814602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004174928,"about_ca_topic_score_gemma":0.003383003,"domain_scores_codex":[0.9978876,0.0002703513,0.0002370829,0.0004313674,0.001070623,0.0001030324],"domain_scores_gemma":[0.9976456,0.0009995714,0.0001365129,0.0003411376,0.0007474374,0.0001297074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004581348,0.00002874726,0.0002506815,0.001341482,0.0000427084,0.0001211149,0.0001807936,0.002288741,0.000690273,0.08700503,0.4565996,0.451405],"study_design_scores_gemma":[0.000003758287,0.00001205648,0.0001710475,0.0002843565,0.000005580187,0.0001489986,0.00002880732,0.000649116,0.0001017865,0.02143199,0.9771458,0.00001676124],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.0009398835,0.392327,0.180655,0.01187524,0.02031982,0.0001845632,0.005177167,0.004066224,0.3844551],"genre_scores_gemma":[0.01552899,0.3510305,0.1036341,0.005756956,0.01450669,0.000460498,0.008990427,0.001986817,0.498105],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1165892,"threshold_uncertainty_score":0.3900297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03504787015040414,"score_gpt":0.2768372377849677,"score_spread":0.2417893676345636,"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."}}