A continuous random variable is a type of variable that can take on any value within a given range. Unlike discrete random variables, which have a countable number of outcomes, continuous random ...

Standardized Normal Variable: the variable that follows the standardized normal distribution. Uniform Distribution: (a.k.a. rectangular distribution) a symmetric probability distribution such that a ...

A discrete random variable is a type of random variable that can take on a countable set of distinct values. Common examples include the number of children in a family, the outcome of rolling a die, ...

This paper compares a number of approximations used to estimate means and variances of continuous random variables and/or to serve as substitutes for the probability distributions of such variables, ...

13. Beta The beta distribution is a family of continuous probability distributions defined on the interval [0, 1] and is often used to model random variables limited to intervals of finite length.

In a number of situations we are faced with the problem of determining efficient estimates of the mean and variance of a distribution specified by (i) a non-zero probability that the variable assumes ...

For on-policy reinforcement learning (RL), discretizing action space for continuous control can easily express multiple modes and is straightforward to optimize. However, without considering the ...