An exploration of sequential Bayesian variable selection -- A comment on García-Donato et al. (2025). "Model uncertainty and missing data: An objective Bayesian perspective"

Fuente: arXiv
Guardado en:
Detalles Bibliográficos
Autores principales: Arnold, Sebastian, Ly, Alexander
Formato: Preprint
Publicado: 2025
Materias:
Acceso en línea:
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1866914066531876864
author Arnold, Sebastian
Ly, Alexander
author_facet Arnold, Sebastian
Ly, Alexander
contents Our comment on García-Donato et al. (2025). "Model uncertainty and missing data: An objective Bayesian perspective" explores a further extension of the proposed methodology. Specifically, we consider the sequential setting where (potentially missing) data accumulate over time, with the goal of continuously monitoring statistical evidence, as opposed to assessing it only once data collection terminates. We explore a new variable selection method based on sequential model confidence sets, as proposed by Arnold et al. (2024), and show that it can help stabilise the inference of García-Donato et al. (2025). To be published as "Invited discussion" in Bayesian Analysis.
format Preprint
id arxiv_https___arxiv_org_abs_2509_22901
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle An exploration of sequential Bayesian variable selection -- A comment on García-Donato et al. (2025). "Model uncertainty and missing data: An objective Bayesian perspective"
Arnold, Sebastian
Ly, Alexander
Methodology
Statistics Theory
62J05 (Primary), 62L10 (Secondary)
Our comment on García-Donato et al. (2025). "Model uncertainty and missing data: An objective Bayesian perspective" explores a further extension of the proposed methodology. Specifically, we consider the sequential setting where (potentially missing) data accumulate over time, with the goal of continuously monitoring statistical evidence, as opposed to assessing it only once data collection terminates. We explore a new variable selection method based on sequential model confidence sets, as proposed by Arnold et al. (2024), and show that it can help stabilise the inference of García-Donato et al. (2025). To be published as "Invited discussion" in Bayesian Analysis.
title An exploration of sequential Bayesian variable selection -- A comment on García-Donato et al. (2025). "Model uncertainty and missing data: An objective Bayesian perspective"
topic Methodology
Statistics Theory
62J05 (Primary), 62L10 (Secondary)
url https://arxiv.org/abs/2509.22901