{
  "abstract": "The standard approach to stochastic simulation from the von Mises-Fisher distribution is a rejection sampler proposed by Ulrich and Wood. This note provides a theoretical justification of its efficiency, lower-bounding its acceptance probability uniformly over the dimension and concentration parameter. A novel interpretation of the proposal is given which provides some intuition for this efficiency.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2609.27884",
  "author_total": 1,
  "authors": [
    {
      "name": "Sam Power"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/3nt228475z9dm.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2609.27884",
  "fulltext_url": null,
  "id": "3nt228475z9dm",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2609.27884",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "http://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "stat.CO"
    ],
    [
      "openalex",
      "2613|Markov Chains and Monte Carlo Methods"
    ]
  ],
  "openalex": "W7214227197",
  "pdf_url": "https://arxiv.org/pdf/2609.27884",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-01",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/3nt228475z9dm.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:24:06Z",
      "native_id": "2609.27884",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2609.27884"
    }
  ],
  "subjects": [
    {
      "field": "mathematics",
      "origin": "arxiv:stat.CO",
      "subfield": "statistics"
    }
  ],
  "title": "Uniform efficiency of the Ulrich-Wood sampler for the von Mises-Fisher distribution",
  "title_text": "Uniform efficiency of the Ulrich-Wood sampler for the von Mises-Fisher distribution",
  "type": "preprint",
  "updated_at": "2026-10-30T12:24:06Z",
  "url": "https://research.draconitic.com/paper/3nt228475z9dm",
  "venue": "arXiv",
  "versions": []
}