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標題および責任表示
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Scalable Monte Carlo for Bayesian learning / Paul Fearnhead [and three others]
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出版・頒布事項
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Cambridge : Cambridge University Press , 2025
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形態事項
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xi, 237 pages ; 24 cm
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巻号情報
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| 巻次等 |
: hardback |
| ISBN |
9781009288446 |
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書誌構造リンク
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Institute of mathematical statistics monographs <BB30282676> 11//a
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注記
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Content Type: text (ncrcontent), Media Type: unmediated (ncrmedia), Carrier Type: volume (ncrcarrier)
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注記
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Includes bibliographical references (pages 225-234) and index
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注記
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Summary:"An intuitive introduction to advanced topics in Markov chain Monte Carlo (MCMC), presenting cutting-edge developments that address the crucial issue of scalability. It could form the basis for a graduate-level course and will be a valuable resource for researchers in the field"--Provided by publisher
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注記
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Other authors: Christopher Nemeth, Chris J. Oates, Chris Sherlock
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学情ID
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BD13205001
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本文言語コード
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英語
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著者標目リンク
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*Fearnhead, Paul <> author
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著者標目リンク
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Nemeth, Christopher <> author
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著者標目リンク
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Oates, Chris J. <> author
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著者標目リンク
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Sherlock, Chris <> author
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分類標目
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LCC:QA298
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件名標目等
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Monte Carlo method
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件名標目等
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Markov processes
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件名標目等
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Bayesian statistical decision theory
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件名標目等
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Machine learning -- Statistical methods
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