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The Metropolis-Hastings algorithm sampling a normal one-dimensional posterior probability distribution. In statistics and statistical physics, the Metropolis–Hastings algorithm is a Markov chain Monte Carlo (MCMC) method for obtaining a sequence of random samples from a probability distribution from which direct sampling is difficult.
NICHOLAS METROPOLIS, ARIANNA W. ROSENBLUTH, MARSHALL N. ROSENBLUTH, AND AUGUSTA H. TELLER, Los Alamos Scientific Laboratory, Los Alamos, New Mexico AND EDWARD TELLER, * Department of Physics, University of Chicago, Chicago, Illinois (Received March 6, 1953)
Nicholas Constantine Metropolis, né le 11 juin 1915 à Chicago et mort le 17 octobre 1999 à Los Alamos (Nouveau-Mexique) [1], est un physicien gréco-américain. Travaux [ modifier | modifier le code ]
22 de dic. de 2010 · The Monte Carlo method was invented by John von Neumann, Stanislaw Ulam, and Nicholas Metropolis (who gave it its name) and independently by Enrico Fermi. Originally, it was not a simulation method but a mathematical approach aimed at solving a multidimensional integro-differential equation by means of a stochastic process.
1 de oct. de 2000 · Nandor L. Balazs, John C. Browne, James D. Louck, Daniel S. Strottman; Nicholas Constantine Metropolis, Physics Today, Volume 53, Issue 10, 1 October 2000, Page
Nicholas Constantine Metropolis, né le 11 juin 1915 à Chicago et mort le 17 octobre 1999 à Los Alamos [1], est un physicien gréco-américain. For faster navigation, this Iframe is preloading the Wikiwand page for Nicholas Metropolis .
Der Metropolis-Algorithmus ist ein Markov-Chain-Monte-Carlo-Verfahren (MCMC) zur Erzeugung von Zuständen eines Systems entsprechend der Boltzmann-Verteilung.Der davon abgeleitete, allgemeinere Metropolis-Hastings-Algorithmus ermöglicht es, Folgen von Zufallsvariablen, genauer Markow-Ketten, zu simulieren, die eine gewünschte Verteilung als stationäre Verteilung besitzen, insbesondere in ...
