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docs/src/gibbs_polar.md

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# [Gibbsian Polar Slice Sampling](@id polar)
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## Introduction
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Gibbsian polar slice sampling (GPSS) is a recent vector-valued slice sampling algorithm proposed by P. Schär, M. Habeck, and D. Rudolf[^SHR2023].
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Gibbsian polar slice sampling (GPSS) is a multivariate slice sampling algorithm proposed by P. Schär, M. Habeck, and D. Rudolf[^SHR2023].
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It is an computationally efficient variant of polar slice sampler previously proposed by Roberts and Rosenthal[^RR2002].
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Unlike other slice sampling algorithms, it operates a Gibbs sampler over polar coordinates, reminiscent of the elliptical slice sampler (ESS).
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Due to the involvement of polar coordinates, GPSS only works reliably on more than one dimension.

src/multivariate/stereographic.jl

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end
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if props > max_proposals
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println(logdensitymodel)
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exceeded_max_prop(max_proposals)
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end
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