書誌事項
- タイトル別名
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- マルコフ レンサ モンテカルロ ホウ
- Markov Chain Monte Carlo Method
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説明
type:text
Markov Chain Monte Calro (MCMC) methods have been widely used in recent years in many fields. However, the theoretical results are derived for different setups and assumptions, and it is still difficult to choose which convergence theorem to apply, which diagnostic method for the convergence to use, and so forth. This paper will provide a comprehensive survey of the theoretical literature with respect to the convergence, the rate of convergence, and diagnostic methods for the convergence of MCMC, focusing on Gibbs sampler, substitution sampling, Metropolis-Hastings algorithm.
source:Economic journal of Chiba University
収録刊行物
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- 千葉大学経済研究 = Economic journal of Chiba University
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千葉大学経済研究 = Economic journal of Chiba University 10 (4), 237-287, 1996-03-06
千葉大学経済学会
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詳細情報 詳細情報について
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- CRID
- 1050851497153424512
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- NII論文ID
- 110000465821
- 10010481045
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- NII書誌ID
- AN10005358
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- ISSN
- 09127216
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- NDL書誌ID
- 4008138
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- 本文言語コード
- ja
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- 資料種別
- departmental bulletin paper
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- データソース種別
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- IRDB
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