EconPapers    
Economics at your fingertips  
 

Bayesian Methods—Markov Chain Montel Carlo Approach

Scott A. Pardo
Additional contact information
Scott A. Pardo: Ascensia Diabetes Care, Global Medical & Clinical Affairs

Chapter Chapter 17 in Beyond the T-Test, 2025, pp 175-183 from Springer

Abstract: Abstract At one time, Bayesian methods could practically be performed only in a few special cases. The discovery/invention of the Markov Chain Monte Carlo methods have allowed Bayesian notions to be applied much more generally.

Date: 2025
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:978-3-031-84479-9_17

Ordering information: This item can be ordered from
http://www.springer.com/9783031844799

DOI: 10.1007/978-3-031-84479-9_17

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 ().

 
Page updated 2026-05-22
Handle: RePEc:spr:sprchp:978-3-031-84479-9_17