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Adaptive and Sophisticated Learning in Repeated Normal Form Games.
Topologies on Information and Strategies in Normal‑Form Games with Incomplete Information.
Abstract: In a previous paper it was shown that a Markov-functional model with log-normally distributed rates in the terminal measure displays nonanalytic behaviour as a function of the volatility, wh...
If the probability of default parameters (PDs) fed as input into a credit portfolio model are estimated as through-the-cycle (TTC) PDs stressed market conditions have little impact on the results of ...
This article presents di erential equations and solution methods for the functions of the form A(z) = F􀀀1(G(z)), where F and G are cumu-lative distribution functions. Such functions allow the...
We present a new approximation to the normal distribution quantile function. It has a similar form to the approximation of Beasley and Springer [3], providing a maximum absolute error of less than $2...
Motivated by the need for parametric families of rich and yet tractable distributions in financial mathematics, both in pricing and risk management settings, but also considering wider statistical app...
We collect well known and less known facts about the bivariate normal distribution and translate them into copula language. In addition, we prove a very general formula for the bivariate normal copula...

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