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Efficient Calibration of Multi-Agent Market Simulators from Time Series with Bayesian Optimization
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Efficient Calibration of Multi-Agent Market Simulators from Time Series with Bayesian Optimization

Paper2021

by Bai, Yuanlu, Balch, Tucker, Chen, Haoxian, Dervovic, Daniel, Lam, Henry, Vyetrenko, Svitlana

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bayesian statisticsmachine learningoptimizationtime series

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Suggested foundations for financial time series and optimisation and numerical methods. Specialist prerequisites vary by paper.

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