Minimum distance probability (MDP) is a robust discriminant algorithm based on a distance function. In this article, we generalize the use of MDP to the case of mixed (continuous and categorical) ...

We propose a novel approach for the computation of the probability distribution of a counting variable linked to a particular kind of hierarchical multivariate copula function called a clusterized ...

Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn ...

Uncertainty is an intrinsic part of neural computation, whether for sensory processing, motor control or cognitive reasoning. For instance, it is impossible to determine with certainty the age of a ...

The OUTPUT statement creates a new SAS data set that contains all the variables in the input data set and, optionally, the estimated linear predictors and their ...