Category

Monte Carlo methods

page 1

Monte Carlo method

broad class of computational algorithms using random sampling to obtain numerical results

simulated annealing

numerical optimization technique for searching for a solution in a space otherwise too large for ordinary search methods to yield results

Markov chain Monte Carlo

class of algorithms

Metropolis–Hastings algorithm

Monte Carlo integration

numerical technique

inverse transform sampling

basic method for pseudo-random number sampling

Monte Carlo tree search

heuristic search algorithm based on random sampling

particle filter

type of Monte Carlo algorithms for signal processing and statistical inference

family of statistical methods based on sampling of available data

Fisher–Yates shuffle

algorithm for generating a random permutation of a finite set

rejection sampling

computational statistics technique

importance sampling

distribution estimation technique

Hamiltonian Monte Carlo

numerical integration method

Ensemble forecasting

statistical technique that combines multiple predictive models

stochastic optimization

optimization method

Marsaglia polar method

method for generating random numbers

Quasi-Monte Carlo method

numerical integration process

variance reduction

procedure used to increase the precision of the estimates that can be obtained for a given number of iterations

cross-entropy method

Monte Carlo method for importance sampling and optimization

Kinetic Monte Carlo

Statistical simulation method