EconPapers    
Economics at your fingertips  
 

Discussion to: Bayesian graphical models for modern biological applications by Y. Ni, V. Baladandayuthapani, M. Vannucci and F.C. Stingo

David Marcano () and Adrian Dobra ()
Additional contact information
David Marcano: University of Washington
Adrian Dobra: University of Washington

Statistical Methods & Applications, 2022, vol. 31, issue 2, No 3, 233 pages

Abstract: Abstract In this writing we discuss the contributions made in the article (Ni et al. Stat Methods Appl, 2021. https://doi.org/10.1007/s10260-021-00572-8 ).

Keywords: Graphical models; Complex data (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10260-021-00604-3 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:stmapp:v:31:y:2022:i:2:d:10.1007_s10260-021-00604-3

Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10260/PS2

DOI: 10.1007/s10260-021-00604-3

Access Statistics for this article

Statistical Methods & Applications is currently edited by Tommaso Proietti

More articles in Statistical Methods & Applications from Springer, Società Italiana di Statistica
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:stmapp:v:31:y:2022:i:2:d:10.1007_s10260-021-00604-3