Metropolis Methods and Variants

Adrian Barbu and Song-Chun Zhu
Additional contact information
Adrian Barbu: Florida State University, Department of Statistics
Song-Chun Zhu: University of California, Los Angeles, Departments of Statistics and Computer Science

Chapter 4 in Monte Carlo Methods, 2020, pp 71-96 from Springer

Abstract: Abstract In this chapter several variations of the original algorithm are discussed and the concepts of reversible jumps and diffusion are covered. Applications include simple image segmentation, furniture arrangement, and people counting.

Date: 2020
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-13-2971-5_4

Ordering information: This item can be ordered from
http://www.springer.com/9789811329715

DOI: 10.1007/978-981-13-2971-5_4

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().