Stochastic (/stəˈkæstɪk/; from Ancient Greek στόχος (stókhos) 'aim, guess') refers to the property of being well-described by a random probability distribution...

In probability theory and related fields, a stochastic (/stəˈkæstɪk/) or random process is a mathematical object usually defined as a sequence of random...

Stochastic terrorism initially referred to a method of mathematically predicting overall risk of a terrorist attack by using various indicators such as...

Stochastic gradient descent (often abbreviated SGD) is an iterative method for optimizing an objective function with suitable smoothness properties (e...

In mathematics, a stochastic matrix is a square matrix used to describe the transitions of a Markov chain. Each of its entries is a nonnegative real number...

A stochastic differential equation (SDE) is a differential equation in which one or more of the terms is a stochastic process, resulting in a solution...

In machine learning, the term stochastic parrot is a metaphor to describe the theory that large language models, though able to generate plausible language...

Stochastic optimization (SO) methods are optimization methods that generate and use random variables. For stochastic problems, the random variables appear...

Stochastic calculus is a branch of mathematics that operates on stochastic processes. It allows a consistent theory of integration to be defined for integrals...

In probability theory and statistics, a stochastic order quantifies the concept of one random variable being "bigger" than another. These are usually partial...