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What is an intuitive explanation of hyper-rectangle slice sampling?
Can you give me an example of when hyper-rectangle slice sampling might be used?
Sure! Hyper-rectangle slice sampling can be used in a variety of applications, such as Bayesian inference, optimization, and machine learning. For example, in Bayesian inference, it can be used to estimate the posterior distribution of a model's parameters.