MCMC stands for various terms. Discover the full forms, meanings, and possible interpretations of MCMC across different fields and industries.
Markov Chain Monte Carlo (MCMC) methods are a class of algorithms for sampling from probability distributions based on constructing a Markov chain that has the desired distribution as its equilibrium distribution. These techniques are widely used in computing for numerical integration and optimization in high-dimensional spaces.
The versatility of MCMC methods allows for their application in various fields, including machine learning, statistics, and physics, where they facilitate the approximation of complex integrals and the simulation of systems with many coupled degrees of freedom.
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