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Discussion on "Model Uncertainty and Missing Data: An Objective Bayesian Perspective" by G. García-Donato, M. E. Castellanos, S. Cabras, A. Quirós, A. Forte

Egidi, Leonardo
2025
  • journal article

Periodico
BAYESIAN ANALYSIS
Abstract
The paper discusses the publication "Model Uncertainty and Missing Data: An Objective Bayesian Perspective" by exploring rhe implementation of hyper-g priors in the context of missing data within an objective Bayesian approach.
DOI
10.1214/25-BA1531
WOS
WOS:001650087100017
Archivio
https://hdl.handle.net/11368/3119863
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-105028198963
https://projecteuclid.org/journals/bayesian-analysis/advance-publication/Model-Uncertainty-and-Missing-Data-An-Objective-Bayesian-Perspective/10.1214/25-BA1531.full?tab=ArticleLink
https://ricerca.unityfvg.it/handle/11368/3119863
Diritti
open access
license:copyright editore
license uri:iris.pri02
FVG url
https://arts.units.it/bitstream/11368/3119863/3/garciadonato_atal_2025 (5).pdf
Soggetti
  • Hyper-g prior

  • Objective Baye

  • Computation

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