Unverified50% confidenceFactExact time
MCMC methods achieve approximate sampling from complex high-dimensional distributions by constructing a Markov chain whose stationary distribution is the target distribution; representative algorithms include the Metropolis-Hastings algorithm and Gibbs sampling.
1
Sources
50%
Confidence
Long-term
Relevance
8/6/2026
First Seen
Sources
马尔可夫链熵率详解：公式推导与序列建模应用
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