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Analysis of the Risk-Sharing Principal-Agent problem through the Reverse-H{ö}lder inequality
In this paper we provide an alternative framework to tackle the first-best Principal-Agent problem under CARA utilities.
Deep Learning applied to Road Traffic Speed forecasting
In this paper, we propose deep learning architectures (FNN, CNN and LSTM) to forecast a regression model for time dependent data.
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