environment variable is a user-definable value that can affect the way running processes will behave on a computer. Environment variables are part of...

Variable data printing (VDP) (also known as variable information printing (VIP) or variable imaging (VI)) is a form of digital printing, including on-demand...

Continuous-variable (CV) quantum information is the area of quantum information science that makes use of physical observables, like the strength of an...

theory and information theory, the mutual information (MI) of two random variables is a measure of the mutual dependence between the two variables. More specifically...

In information theory, the entropy of a random variable quantifies the average level of uncertainty or information associated with the variable's potential...

random variable. The Shannon information is closely related to entropy, which is the expected value of the self-information of a random variable, quantifying...

A control variable (or scientific constant) in scientific experimentation is an experimental element which is constant (controlled) and unchanged throughout...

electronic devices. Information technology as a field emphasizes the secure management of large amounts of variable information and its accessibility...

exact information it represents. The identifier in computer source code can be bound to a value during run time, and the value of the variable may thus...

A random variable (also called random quantity, aleatory variable, or stochastic variable) is a mathematical formalization of a quantity or object which...

Information flow in an information theoretical context is the transfer of information from a variable x {\displaystyle x} to a variable y {\displaystyle...

In information theory, the conditional entropy quantifies the amount of information needed to describe the outcome of a random variable Y {\displaystyle...

variables. Information theory can quantify the amount of information a single source variable X 1 {\displaystyle X_{1}} has about a target variable Y...

In statistics, a categorical variable (also called qualitative variable) is a variable that can take on one of a limited, and usually fixed, number of...

colloqually that the variable represents or denotes the object, and that the object is the value of the variable. Originally, the term "variable" was used primarily...

the Fisher information (sometimes simply called information) is a way of measuring the amount of information that an observable random variable X carries...

this variable given the other one. The information gain of a random variable X {\displaystyle X} obtained from an observation of a random variable A {\displaystyle...

class variable is a variable defined in a class of which a single copy exists, regardless of how many instances of the class exist. A class variable is not...

"mutual information", but today that term is instead used for a related measure of dependence between random variables: The mutual information (MI) of...

A variable- (also changeable-, electronic-, or dynamic-) message sign or message board, often abbreviated VMS, VMB, CMS, or DMS, and in the UK known as...

determinists reconciled with this behavior using hidden variable theories, which argued that the information necessary to predict the future of a function must...

key measure in information theory is entropy. Entropy quantifies the amount of uncertainty involved in the value of a random variable or the outcome of...

In computer programming, a global variable is a variable with global scope, meaning that it is visible (hence accessible) throughout the program, unless...

channels. In information theory, units of information are also used to measure information contained in messages and the entropy of random variables. The most...

Fisher information matrix. Considered as a measurement technique, where it is used to estimate hidden parameters in terms of observed random variables, it...

k. That is, unexplained variation in the dependent variable and the number of explanatory variables increase the value of BIC. However, a lower BIC does...

or simply SSA) is a type of intermediate representation (IR) where each variable is assigned exactly once. SSA is used in most high-quality optimizing compilers...

Jacob Bernoulli, is the discrete probability distribution of a random variable which takes the value 1 with probability p {\displaystyle p} and the value...

value of the mutual information of two random variables given the value of a third. For random variables X {\displaystyle X} , Y {\displaystyle Y} , and...

complex random variables are found in digital signal processing, quadrature amplitude modulation and information theory. A complex random variable Z {\displaystyle...