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What is an intuitive explanation of hyper-rectangle slice sampling?
Can you explain what hyper-rectangle slice sampling is in simple terms?
Hyper-rectangle slice sampling is a Markov Chain Monte Carlo (MCMC) method used for sampling from multi-dimensional probability distributions. It works by iteratively "slicing" the hyper-rectangle, which contains the region of high probability mass, and then sampling from the resulting slices.