Approximating Probability Distributions (III): Monte Carlo Methods (II): Slice Sampling is Lecture 13 of the Course on Information Theory, Pattern Recognition, and Neural Networks. It is the one of the series of sixteen lectures covering the core of the book "Information Theory, Inference, and Learning Algorithms". A subset of these lectures used to constitute a Part III Physics course at the University of Cambridge. To find out more about this particular topic look up for other parts of this course.

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