Most mathematical models do not admit exact solutions. Asymptotic and perturbation methods provide powerful techniques for obtaining approximate solutions, which allow one to draw physical conclusions ...
Bewley and Kohlberg [Bewley T, Kohlberg E (1976) The asymptotic theory of stochastic games. Math. Oper. Res. 1:197–208] proved that the discounted values of finite zero-sum stochastic games have a ...
In connection with the function π(x), one shows that for any positive numbers a₁, a₂,..., an and any real numbers α₁, α₂,..., αn the sign of the expresion ...
In this Artificial Intelligence podcast with Lex Fridman, computer scientist Donald Knuth discusses Alan Turing, Neural networks, machine learning and other AI topics from ant colonies and human ...
This course is available on the BSc in Business Mathematics and Statistics, BSc in Mathematics and Economics, BSc in Mathematics with Economics and BSc in Statistics with Finance. This course is ...
We demonstrate the impact of conditional correlation on an asymptotic single risk factor model within the framework of dynamic credit provisioning and stress testing. Specifically, we show the effect ...
Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation We propose a new machine-learning-based approach for forecasting Value-at-Risk (VaR) named CoFiE-NN where a neural network ...
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