Monte Carlo sampling methods using Markov chains and their applications

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ID: 289143
1970
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Abstract
A generalization of the sampling method introduced by Metropolis et al. (1953) is presented along with an exposition of the relevant theory, techniques of application and methods and difficulties of assessing the error in Monte Carlo estimates. Examples of the methods, including the generation of random orthogonal matrices and potential applications of the methods to numerical problems arising in statistics, are discussed.
Reference Key
openalex_W2138309709 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors W. Keith Hastings
Journal jurnal biometrika dan kependudukan
Year 1970
DOI
10.1093/biomet/57.1.97
URL
https://doi.org/10.1093/biomet/57.1.97
Keywords Keywords not found

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