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Year of publication
Subject
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artificial neural network 2 large time step simulation 2 numerical scheme 2 path-dependent options 2 stochastic collocation Monte Carlo sampler 2 stochastic differential equations 2 Analysis 1 Mathematical analysis 1 Monte Carlo simulation 1 Monte-Carlo-Simulation 1 Neural networks 1 Neuronale Netze 1 Option pricing theory 1 Optionspreistheorie 1 Simulation 1 Stochastic process 1 Stochastischer Prozess 1
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Online availability
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Free 2 CC license 1
Type of publication
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Article 2
Type of publication (narrower categories)
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Article 1 Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 2
Author
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Grzelak, Lech A. 2 Liu, Shuaiqiang 2 Oosterlee, Cornelis Willebrordus 2
Published in...
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Risks 1 Risks : open access journal 1
Source
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ECONIS (ZBW) 1 EconStor 1
Showing 1 - 2 of 2
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The seven-league scheme: Deep learning for large time step Monte Carlo simulations of stochastic differential equations
Liu, Shuaiqiang; Grzelak, Lech A.; Oosterlee, Cornelis … - In: Risks 10 (2022) 3, pp. 1-27
We propose an accurate data-driven numerical scheme to solve stochastic differential equations (SDEs), by taking large time steps. The SDE discretization is built up by means of the polynomial chaos expansion method, on the basis of accurately determined stochastic collocation (SC) points. By...
Persistent link: https://www.econbiz.de/10013200937
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Cover Image
The seven-league scheme : deep learning for large time step Monte Carlo simulations of stochastic differential equations
Liu, Shuaiqiang; Grzelak, Lech A.; Oosterlee, Cornelis … - In: Risks : open access journal 10 (2022) 3, pp. 1-27
We propose an accurate data-driven numerical scheme to solve stochastic differential equations (SDEs), by taking large time steps. The SDE discretization is built up by means of the polynomial chaos expansion method, on the basis of accurately determined stochastic collocation (SC) points. By...
Persistent link: https://www.econbiz.de/10013093086
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