Scalable Monte Carlo for Bayesian learning

著者

• Fearnhead, Paul
• Nemeth, Christopher
• Oates, Chris J.
• Sherlock, Chris

書誌事項

Scalable Monte Carlo for Bayesian learning

Paul Fearnhead [and three others]

（Institute of mathematical statistics monographs, 11）

Cambridge University Press, 2025

• : hardback

注記

Content Type: text (ncrcontent), Media Type: unmediated (ncrmedia), Carrier Type: volume (ncrcarrier)

Includes bibliographical references (pages 225-234) and index

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

Other authors: Christopher Nemeth, Chris J. Oates, Chris Sherlock

詳細情報

• NII書誌ID(NCID): BD13205001
• ISBN:
  • 9781009288446
• LCCN: 2025016395
• 出版国コード: uk
• タイトル言語コード: eng
• 本文言語コード: eng
• 出版地: Cambridge
• ページ数/冊数: xi, 237 pages
• 大きさ: 24 cm
• 分類:
  • LCC : QA298
• 件名:
  • LCSH : Monte Carlo method
  • LCSH : Markov processes
  • LCSH : Bayesian statistical decision theory
  • LCSH : Machine learning -- Statistical methods
• 親書誌ID:
  • BB03126196