Weak Poincar'e inequality comparisons for ideal and hybrid slice sampling
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Abstract (arXiv)
Using the framework of weak Poincar'e inequalities, we provide a general comparison between Hybrid and Ideal Slice Sampling in terms of their corresponding Dirichlet forms. In particular, under suitable assumptions Hybrid Slice Sampling inherits fast convergence from Ideal Slice Sampling and conversely. We apply our results to analyse the convergence of the Independent Metropolis-Hastings, stepping-out and shrinkage, as well as Hit-and-Run within slice sampling algorithms.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). First posted on arXiv 21 Feb 2024.
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1 paper.
- 2026Neural Transport Nested Samplingcited by 0
- 2026Neural Transport Nested Sampling24 Sep 2026