Artists

Grégoire Huret

Gregori, Carlo

In statistics, Markov chain Monte Carlo (MCMC) is a class of algorithms used to draw samples from a probability distribution. Given a probability distribution, one can construct a Markov chain whose elements' distribution approximates it – that is, the Markov chain's equilibrium distribution matches the target distribution. The more steps that are included, the more closely the distribution of the sample matches the actual desired distribution. Markov chain Monte Carlo methods are used to study probability distributions that are too complex or too high dimensional to study with analytic techniques alone. Various algorithms exist for constructing such Markov chains, including the Metropolis–Hastings algorithm.

Gregori, Ferdinando

Gregorio de' Ferrari

Gregorio di Lorenzo

Gregorio di Lorenzo (Master of the Marble Madonnas)

Gregorio Guglielmi

Gregorio Pagani

Gregorio Pagani

Gregorio Prestopino

Gregorius, Albert Jakob Frans

Gregory Amenoff