Advances in Intelligent and Soft Computing > Combining Soft Computing and Statistical Methods in Data Analysis > 1-8

Advances in Intelligent and Soft Computing > Combining Soft Computing and Statistical Methods in Data Analysis > 9-16

Advances in Intelligent and Soft Computing > Combining Soft Computing and Statistical Methods in Data Analysis > 17-24

Advances in Intelligent and Soft Computing > Combining Soft Computing and Statistical Methods in Data Analysis > 25-31

*exactHausdorff*for the Hausdorff dispersion ordering and the function

*simplex*for the simplex dispersion orderings. Some auxiliary functions are commented too.

Advances in Intelligent and Soft Computing > Combining Soft Computing and Statistical Methods in Data Analysis > 33-40

Advances in Intelligent and Soft Computing > Combining Soft Computing and Statistical Methods in Data Analysis > 41-48

Advances in Intelligent and Soft Computing > Combining Soft Computing and Statistical Methods in Data Analysis > 49-56

Advances in Intelligent and Soft Computing > Combining Soft Computing and Statistical Methods in Data Analysis > 57-64

Advances in Intelligent and Soft Computing > Combining Soft Computing and Statistical Methods in Data Analysis > 65-72

Advances in Intelligent and Soft Computing > Combining Soft Computing and Statistical Methods in Data Analysis > 73-80

*m*≥ 1 stocks which can be used when the available information about the uncertainty model is only a partial conditional probability assessment

**p**. We select a risk neutral probability minimizing a discrepancy measure between

**p**and the convex set of all possible risk neutral probabilities.

Advances in Intelligent and Soft Computing > Combining Soft Computing and Statistical Methods in Data Analysis > 81-88

Advances in Intelligent and Soft Computing > Combining Soft Computing and Statistical Methods in Data Analysis > 89-96

Advances in Intelligent and Soft Computing > Combining Soft Computing and Statistical Methods in Data Analysis > 97-104

*r*-th order statistic...

Advances in Intelligent and Soft Computing > Combining Soft Computing and Statistical Methods in Data Analysis > 105-113

Advances in Intelligent and Soft Computing > Combining Soft Computing and Statistical Methods in Data Analysis > 115-122

Advances in Intelligent and Soft Computing > Combining Soft Computing and Statistical Methods in Data Analysis > 123-130

Advances in Intelligent and Soft Computing > Combining Soft Computing and Statistical Methods in Data Analysis > 131-138

Advances in Intelligent and Soft Computing > Combining Soft Computing and Statistical Methods in Data Analysis > 139-147

Advances in Intelligent and Soft Computing > Combining Soft Computing and Statistical Methods in Data Analysis > 149-154

*d*-dimensional convex bodies (

*d*≥ 2) translates into the problem of finding appropriate majorants of the involved random vector for the usual convex order. In this work, we use a stochastic approach based on the Brownian motion to establish a multidimensional version of the classical Hadamard inequality. The main result...