Gibbs sampling
Metropolis-Hastings algorithm
rejection sampling
k-means clustering
basinhopping
pseudorandom
Monte Carlo method
exponential distribution
rule of succession
Markov chain
Markoff chain
Markovian
Baum-Welch algorithm
pseudocorrelation
pseudolikelihood
snowball sampling
jackknife
distribution
federated learning
sample path
joint probability
probability distribution
memoryless
hypergeometric random variable
multitaper
skip list
Box-Muller transform
poolplexing
factor analysis
central moment
marginal distribution
Popoviciu's inequality
forward-backward algorithm
Jeffreys prior
multivariate analysis
parametric statistic
Poisson distribution
pseudorandom number generator
Tukey lambda distribution
geometric progression
Las Vegas algorithm
ziggurat algorithm
Sattolo's algorithm
autosampler
tempogram
procedurally
autosampling
Pareto distribution
varimax
stationary distribution
quartile
Fisher-Yates shuffle
Rademacher distribution
random function
sample function
confidence limits
Weibull
nonprobability
likelihood
random sampling
e-science
massively parallel
class
stochastic process
state
MRF
quantile
conditional probability distribution
estimation theory
recursive function
deconfusion
stopping time
pentile
hypergeometric distribution
decile
hyperensemble
alpha-beta filter
hinge
Lévy flight
median
population
weight
Markov process
Mann-Whitney U test
riffling
affine arithmetic
cobweb model
uncertainty
universe
decision stream
regression tree
Tikhonov regularization
randomisation
Yule-Simon distribution
probable error
biosample

English words for 'A Markov chain Monte Carlo algorithm for obtaining a sequence of observations which are approximated from a specified multivariate probability distribution, when direct sampling is difficult.'

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