Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...

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, ...

Abstract: Given two discrete random variables X and Y, an operational approach is undertaken to quantify the “leakage” of information from X to Y. The resulting measure ℒ(X→Y ) is called maximal ...

In the world of probability theory and statistics, conditional distribution is an essential concept that helps understand the relationship between two or more events. Conditional distribution provides ...

In the field of statistics and probability, marginal distribution plays a critical role in understanding the behavior of variables. It is a method used to determine the probability distribution of a ...

A random variable is a variable whose possible values are numerical outcomes of a random phenomenon. It is a fundamental concept in probability and statistics, used to quantify and analyze random ...

A joint probability distribution describes the probability of two or more random variables occurring simultaneously. It provides a comprehensive way to understand the relationship between different ...

Probability theory is a mathematical framework for quantifying our uncertainty about the world, and is a fundamental building block in the study of machine learning. The purpose of this article is to ...