Metropolis–Hastings algorithm

algorithm
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Metropolis–Hastings algorithm

Summary

Metropolis–Hastings algorithm is an algorithm[1]. It has Wikipedia articles in 15 language editions, a strong signal of global cultural recognition.[2]

Key Facts

  • Metropolis–Hastings algorithm is credited with the discovery of Nicholas Metropolis[3].
  • Metropolis–Hastings algorithm is credited with the discovery of Marshall Rosenbluth[4].
  • Metropolis–Hastings algorithm is credited with the discovery of Edward Teller[5].
  • Metropolis–Hastings algorithm is credited with the discovery of W. K. Hastings[6].
  • Metropolis–Hastings algorithm is credited with the discovery of Enrico Fermi[7].
  • Metropolis–Hastings algorithm is credited with the discovery of Stanisław Ulam[8].
  • Metropolis–Hastings algorithm's instance of is recorded as algorithm[9].
  • Nicholas Metropolis is named after Metropolis–Hastings algorithm[10].
  • W. K. Hastings is named after Metropolis–Hastings algorithm[11].
  • Metropolis–Hastings algorithm's time of discovery or invention is recorded as 1953[12].
  • Metropolis–Hastings algorithm's facet of is recorded as Markov chain Monte Carlo[13].
  • Metropolis–Hastings algorithm's ACM Classification Code is recorded as 10003679[14].

Body

Designation and Status

Metropolis–Hastings algorithm's instance of is recorded as algorithm[9].

History and Context

Things named after include Nicholas Metropolis[10], a mathematician[15], 1915–1999[16], of United States[17], awarded the Computer Pioneer Award[18], specialised in physics[19] and W. K. Hastings[11], a statistician[20], 1930–2016[21], of Canada[22].

Why It Matters

Metropolis–Hastings algorithm has Wikipedia articles in 15 language editions, a strong signal of global cultural recognition.[2] It is known by 10 alternative names across languages and contexts.[23]

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [9] . wikidata.org.
  2. [3] . Equation of State Calculations by Fast Computing Machines. wikidata.org.
  3. [4] . Equation of State Calculations by Fast Computing Machines. wikidata.org.
  4. [5] . Equation of State Calculations by Fast Computing Machines. wikidata.org.
  5. [6] . biomet.oxfordjournals.org. biomet.oxfordjournals.org. Provenance: wikidata.org.
  6. [7] . wikidata.org.
  7. [8] . wikidata.org.
  8. [10] . wikidata.org.
  9. [11] . wikidata.org.
  10. [12] . wikidata.org.
  11. [13] . wikidata.org.
  12. [14] . wikidata.org.

Inline context (facts about related entities)

  1. [15] . Wikidata. wikidata.org. → on this site
  2. [16] . Wikidata. wikidata.org. → on this site
  3. [17] . Wikidata. wikidata.org. → on this site
  4. [18] . Wikidata. wikidata.org. → on this site
  5. [19] . Wikidata. wikidata.org. → on this site
  6. [20] . Wikidata. wikidata.org. → on this site
  7. [21] . Wikidata. wikidata.org. → on this site
  8. [22] . Wikidata. wikidata.org. → on this site

Class ancestry

  1. [1] . Wikidata. wikidata.org.

Aggregate / graph-position facts

  1. [2] . Wikidata sitelinks. wikidata.org.
  2. [23] . Wikidata aliases. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Metropolis–Hastings algorithm. Retrieved May 3, 2026, from https://4ort.xyz/entity/metropolis-hastings-algorithm
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BibTeX @misc{4ortxyz_metropolis-hastings-algorithm_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Metropolis–Hastings algorithm}}, year = {2026}, url = {https://4ort.xyz/entity/metropolis-hastings-algorithm}, note = {Accessed: 2026-05-03}}
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Edit History

Rolling log of changes to this entity's Wikidata record. Values shown reflect the current state of each edited property — follow the history link to see the precise diff for any edit.

  1. 7d ago · Nyuhn · 2026-07-10 view diff on Wikidata ↗
    P14541 43myzm
    Aliases
    Named after
    Instance of algorithm
    + 4 other properties edited (see Wikidata diff for full list)
    "/* wbeditentity-update:0| */ QuickStatements 3.0 [[:toollabs:qs-dev/batch/40849|batch #40849]]: ZGBK ID"
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