Metropolis–Hastings algorithm

Summary

Metropolis–Hastings algorithm is an algorithm^[1]. It ranks in the top 4% of algorithm entities by monthly Wikipedia readership (820 views/month).^[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 +1953-00-00T00:00:00Z^[12].
• Metropolis–Hastings algorithm's Freebase ID is recorded as /m/0fjyj^[13].
• Metropolis–Hastings algorithm's facet of is recorded as Markov chain Monte Carlo^[14].
• Metropolis–Hastings algorithm's ACM Classification Code is recorded as 10003679^[15].
• Metropolis–Hastings algorithm's Encyclopædia Universalis ID is recorded as algorithme-de-metropolis^[16].
• Metropolis–Hastings algorithm's Microsoft Academic ID is recorded as 204693719^[17].
• Metropolis–Hastings algorithm's OpenAlex ID is recorded as C204693719^[18].
• Metropolis–Hastings algorithm's Encyclopedia of China is recorded as 234679^[19].

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^[20], 1915–1999^[21], of United States^[22], awarded the Computer Pioneer Award^[23], specialised in physics^[24] and W. K. Hastings^[11], a statistician^[25], 1930–2016^[26], of Canada^[27].

Why It Matters

Metropolis–Hastings algorithm ranks in the top 4% of algorithm entities by monthly Wikipedia readership (820 views/month).^[2] It has Wikipedia articles in 15 language editions, a strong signal of global cultural recognition.^[28] It is known by 10 alternative names across languages and contexts.^[29]