The Monte Carlo simulation estimates the probability of different outcomes in a process that cannot easily be predicted because of the potential for random variables.

This note suggests that expressing a distribution function as a mixture of suitably chosen distribution functions leads to improved methods for generating random variables in a computer. The idea is ...

What then? Inevitably, there is suffering. There is suffering that is utterly unique to having the experience of “random rewards” and variable parenting across time.

A random variable that can take only a certain specified set of individual possible values-for example, the positive integers 1, 2, 3, . . . For example, stock prices are discrete random variables ...

Random factor analysis is a statistical technique to decipher whether outlying data is caused by an underlying trend or just simply a random event.