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SynthETIC : an individual insurance claim simulator with feature control

Avanzi, Benjamin; Taylor, Greg; Wang, Melantha; Wong, … - In: Insurance / Mathematics & economics 100 (2021), pp. 296-308

Persistent link: https://www.econbiz.de/10012622394

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

A weights direct determination neuronet for time-series with applications in the industrial indices of the Federal Reserve Bank of St. Louis

Mourtas, Spyridon D. - In: Journal of forecasting 41 (2022) 7, pp. 1512-1524

Persistent link: https://www.econbiz.de/10013465710

Response versus gradient boosting trees, GLMs and neural networks under Tweedie loss and log-link

Hainaut, Donatien; Trufin, Julien; Denuit, Michel - In: Scandinavian actuarial journal 2022 (2022) 10, pp. 841-866

Persistent link: https://www.econbiz.de/10013491040

Predicting KC-135R aircraft availability with aircraft metrics

Jordan, Johnathan A.; Etemadi, Amir; Grenn, Michael W. - In: IEEE transactions on engineering management : EM 69 (2022) 6,2, pp. 3864-3873

Persistent link: https://www.econbiz.de/10013548740

Deep neural network estimation in panel data models

Chronopoulos, Ilias; Chrysikou, Katerina; Kapetanios, George - 2023

Persistent link: https://www.econbiz.de/10014340051

Three decennaries of artificial neural networks in finance : a bibliometric review and future research agenda

Kumar, Amit; Kaur, Manpreet - In: International journal of Indian culture and business … 34 (2025) 1, pp. 1-26

Persistent link: https://www.econbiz.de/10015323396

Stationary points of a shallow neural network with quadratic activations and the global optimality of the gradient descent algorithm

Gamarnik, David; Kızıldağ, Eren C.; Zadik, Ilias - In: Mathematics of operations research 50 (2025) 1, pp. 209-251

Persistent link: https://www.econbiz.de/10015211673

Forecasting Indian Goods and Services Tax revenue using TBATS, ETS, Neural Networks, and hybrid time series models

Thayyib, P. V.; Thorakkattle, Muhammed Navas; Usmani, Faisal - In: Cogent economics & finance 11 (2023) 2, pp. 1-23

This study focuses on the crucial task of forecasting tax revenue for India, specifically the Goods and Services Tax (GST), which plays a pivotal role in fiscal spending and taxation policymaking. Practically, the GST time series datasets exhibit linear and non-linear fluctuations due to the...

Persistent link: https://www.econbiz.de/10014500976

Vice versa : the decoupling of content and topic heterogeneity in collusion research

Schmal, Wolfgang Benedikt - In: Journal of economic surveys 38 (2024) 5, pp. 1686-1730

Persistent link: https://www.econbiz.de/10015156674