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45.70.Vn Granular models of complex systems 14 traffic flow 14 Granular models of complex systems 5 89.40.Bb Land transportation 4 Theorie 4 Theory 4 granular models 4 loss reserving 4 neural networks 4 02.60.Cb Numerical simulation 3 89.40.-a Transportation 3 Random walks and Lévy flights 3 solution of equations 3 05.70.Fh Phase transitions: general studies 2 83.60.Wc Flow instabilities 2 Actuarial mathematics 2 Forecasting model 2 Granular models 2 Individual claim simulator 2 Individual claims 2 Inflation 2 Kinetic theory 2 Loss 2 Loss reserving 2 Neural networks 2 Neuronale Netze 2 Partial payments 2 Prognoseverfahren 2 Self-organized systems 2 Simulated losses 2 Simulation 2 Superimposed inflation 2 SynthETIC 2 Verlust 2 Versicherungsmathematik 2 actuarial 2 machine learning 2 payments per claim incurred 2 risk pricing 2 02.50.-Ey Stochastic processes 1
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Undetermined 23 Free 4
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Article 27
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Article in journal 4 Aufsatz in Zeitschrift 4 Article 2
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Undetermined 21 English 6
Author
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Lambiotte, R. 4 Taylor, Greg 4 Ausloos, M. 3 Helbing, D. 3 Avanzi, Benjamin 2 Brenig, L. 2 Campari, E.G. 2 H. L. Poon, Jacky 2 Hu, M.-B. 2 Jiang, R. 2 Levi, G. 2 Neumann, T. 2 Salazar, J.M. 2 Wang, Melantha 2 Wu, Q.-S. 2 Benyoussef, A. 1 Dai, S. Q. 1 Dong, L. Y. 1 Ez-Zahraouy, H. 1 Ge, H. X. 1 He, H.-D. 1 Jia, B. 1 Johansson, A. F. 1 Koza, Z. 1 Liu, Y. G. 1 Loguinova, N.B. 1 Lu, W.-Z. 1 Luck, J. M. 1 Mehta, A. 1 Moussa, N. 1 Moussaid, M. 1 Nagel, K. 1 Pe¸kala, M. 1 Rieser, M. 1 Schram, P.P.J.M. 1 Tian, H.-H. 1 Trigger, S.A. 1 Trojan, K. 1 Vlasov, Yu.P. 1 Wagner, P. 1
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The European Physical Journal B - Condensed Matter and Complex Systems 16 Physica A: Statistical Mechanics and its Applications 5 Risks 2 Risks : open access journal 2 Annals of actuarial science : publ. by the Institute of Actuaries and the Faculty of Actuaries 1 Insurance 1
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RePEc 21 ECONIS (ZBW) 4 EconStor 2
Showing 1 - 10 of 27
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SPLICE : a synthetic paid loss and incurred cost experience simulator
Avanzi, Benjamin; Taylor, Greg; Wang, Melantha - In: Annals of actuarial science : publ. by the Institute of … 17 (2023) 1, pp. 7-35
Persistent link: https://www.econbiz.de/10014306849
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Loss reserving models: Granular and machine learning forms
Taylor, Greg - In: Risks 7 (2019) 3, pp. 1-18
The purpose of this paper is to survey recent developments in granular models and machine learning models for loss … archaeological vignettes from the history of loss reserving. However, the larger part of the paper is concerned with the granular … models and machine learning models. Their relative merits are discussed, as are the factors governing the choice between them …
Persistent link: https://www.econbiz.de/10013200500
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Penalising unexplainability in neural networks for predicting payments per claim incurred
H. L. Poon, Jacky - In: Risks 7 (2019) 3, pp. 1-11
In actuarial modelling of risk pricing and loss reserving in general insurance, also known as P&C or non-life insurance, there is business value in the predictive power and automation through machine learning. However, interpretability can be critical, especially in explaining to key...
Persistent link: https://www.econbiz.de/10013200513
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Penalising unexplainability in neural networks for predicting payments per claim incurred
H. L. Poon, Jacky - In: Risks : open access journal 7 (2019) 3/95, pp. 1-11
In actuarial modelling of risk pricing and loss reserving in general insurance, also known as P&C or non-life insurance, there is business value in the predictive power and automation through machine learning. However, interpretability can be critical, especially in explaining to key...
Persistent link: https://www.econbiz.de/10012126431
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Loss reserving models : granular and machine learning forms
Taylor, Greg - In: Risks : open access journal 7 (2019) 3/82, pp. 1-18
The purpose of this paper is to survey recent developments in granular models and machine learning models for loss … archaeological vignettes from the history of loss reserving. However, the larger part of the paper is concerned with the granular … models and machine learning models. Their relative merits are discussed, as are the factors governing the choice between them …
Persistent link: https://www.econbiz.de/10012127545
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SynthETIC : an individual insurance claim simulator with feature control
Avanzi, Benjamin; Taylor, Greg; Wang, Melantha; Wong, … - In: Insurance 100 (2021), pp. 296-308
Persistent link: https://www.econbiz.de/10012622394
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Analytical calculation of critical perturbation amplitudes and critical densities by non-linear stability analysis of a simple traffic flow model
Helbing, D.; Moussaid, M. - In: The European Physical Journal B - Condensed Matter and … 69 (2009) 4, pp. 571-581
Persistent link: https://www.econbiz.de/10009281822
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TASEP related models with traffic light boundary
Neumann, T. - In: The European Physical Journal B - Condensed Matter and … 67 (2009) 1, pp. 133-138
Persistent link: https://www.econbiz.de/10009281881
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On the controversy around Daganzo’s requiem for and Aw-Rascle’s resurrection of second-order traffic flow models
Helbing, D.; Johansson, A. F. - In: The European Physical Journal B - Condensed Matter and … 69 (2009) 4, pp. 549-562
Persistent link: https://www.econbiz.de/10009282381
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Derivation of non-local macroscopic traffic equations and consistent traffic pressures from microscopic car-following models
Helbing, D. - In: The European Physical Journal B - Condensed Matter and … 69 (2009) 4, pp. 539-548
Persistent link: https://www.econbiz.de/10009282400
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