Abstract: Chow and Liu considered the problem of approximating discrete joint distributions with dependence tree distributions where the goodness of the approximations were measured in terms of KL ...

It helps us understand how probable it is for each outcome to occur and can be represented through mathematical formulas or visual tools like graphs and tables. There are two main types of probability ...

Using the discrete random variables from the dataset we can calculate the probability mass function and using the continuous random variable we can calculate the probability density function. Here, we ...

or common invariant structures (i.e., graphs share several common schemas), and which graphic type (bar vs. dot vs. tally) is the best to compare discrete groups. Three experiments were conducted ...

Gaussian distribution, standard normal distribution, bell curve Gaussian distribution. Standard normal distribution, sometimes informally called a bell curve, used in probability theory and statistics ...

This program generates random variables using the Poisson distribution. The Poisson distribution is a discrete probability distribution that expresses, based on a mean frequency of occurrence, the ...

When plotted on a graph, the distribution is represented ... we are left with 40 cards, a set of discrete data. Suppose you want to know the probability of pulling a two of hearts from the ...