During the last three decades and in a technological and economical complex world, mathematical models play an important role in the decision-making tools. Indeed, whether to develop and calibrate models, measure and control risks associated with economic phenomena or financial instruments, mathematical tools provide skills highly appreciated to better understand these phenomena and improve prediction of their inherent risks.
In particular, in spite of the financial crisis, probabilistic methods (Brownian motion, stochastic calculus, Malliavin calculus, ...) provide modeling complex phenomena arising from the insurance business and financial industry. Once these models are in place, the methods from mathematical statistics (test, parameter estimation, ...) allow the validation and calibration of these models (estimate from actual data the parameters of a model).
The Cadi Ayyad University (UCA) organizes in collaboration with the International Center of Pure and Applied Mathematics (CIMPA), a spring school on "Statistical Methods and Applications in Insurance and Finance" from 8 to 20 April 2013.