
Stochastic - Wikipedia
In artificial intelligence, stochastic programs work by using probabilistic methods to solve problems, as in simulated annealing, stochastic neural networks, stochastic optimization, …
STOCHASTIC Definition & Meaning - Merriam-Webster
The meaning of STOCHASTIC is random; specifically : involving a random variable. How to use stochastic in a sentence.
STOCHASTIC Definition & Meaning | Dictionary.com
STOCHASTIC definition: of or relating to a process involving a randomly determined sequence of observations each of which is considered as a sample of one element from a probability …
STOCHASTIC | English meaning - Cambridge Dictionary
STOCHASTIC definition: 1. A stochastic process or system is connected with random probability. 2. A stochastic process or…. Learn more.
What Does Stochastic Mean? Definition & Why Randomness ...
Nov 20, 2025 · Learn what stochastic means, the definition of stochasticity, how randomness is used in science and AI, real-world examples, and why it matters.
STOCHASTIC definition in American English | Collins English ...
Here, using a model of cultural evolution, we examine the relationship between cultural specialization, cultural repertoire size and sensitivity of the repertoire to stochastic losses and …
Stochastic -- from Wolfram MathWorld
Dec 3, 2025 · Stochastic is often used as counterpart of the word "deterministic," which means that random phenomena are not involved. Therefore, stochastic models are based on random …
Stochastic process | Probability, Randomness & Variability ...
Nov 18, 2025 · Stochastic process, in probability theory, a process involving the operation of chance. For example, in radioactive decay every atom is subject to a fixed probability of …
Stochastic Process - GeeksforGeeks
Jul 23, 2025 · A stochastic process is a set of random variables that depicts how a system changes over time. It explains how a system's state varies at various times or locations, …
Master the Stochastic Oscillator: Definition, Functionality ...
Oct 11, 2025 · Learn how the stochastic oscillator identifies overbought/oversold signals, compares closing prices, and predicts reversals using momentum analysis.