{
  "abstract": "This article presents a summary of the contributions to the Bayesian statistics session held at the Journées MAS 2024. The session highlighted recent advances across several active areas of Bayesian methodology, including model selection in probabilistic principal component analysis, heavy-tailed priors in Bayesian deep learning, the interplay between prior specification and penalization in variational inference, and Bayesian nonparametric approaches to species sampling problems. Each contribution illustrates both theoretical insights and methodological developments, reflecting the richness and diversity of current research in the Bayesian community.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": null,
  "author_total": 6,
  "authors": [
    {
      "name": "Julyan Arbel"
    },
    {
      "name": "Paul Egels"
    },
    {
      "name": "Stefano Favaro"
    },
    {
      "name": "Kaniav Kamary"
    },
    {
      "name": "Zacharie Naulet"
    },
    {
      "name": "Pierre Wolinski"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/1r80xew8zg0ea.bib",
  "cited_by": 0,
  "doi": null,
  "fulltext_url": null,
  "id": "1r80xew8zg0ea",
  "issns": [
    "2267-3059"
  ],
  "landing_url": "https://inria.hal.science/hal-05746900v1",
  "language": "en",
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "hal",
      "0.math"
    ]
  ],
  "openalex": null,
  "pdf_url": "https://inria.hal.science/hal-05746900/document",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-11",
  "publisher": "EDP Sciences",
  "ris": "https://research.draconitic.com/paper/1r80xew8zg0ea.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:33Z",
      "native_id": "hal-05746900",
      "source": "hal",
      "url": "https://inria.hal.science/hal-05746900v1"
    }
  ],
  "subjects": [
    {
      "field": "mathematics",
      "origin": "hal:0.math",
      "subfield": "general"
    }
  ],
  "title": "Modern Bayesian Modeling and Inference",
  "title_text": "Modern Bayesian Modeling and Inference",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:17:33Z",
  "url": "https://research.draconitic.com/paper/1r80xew8zg0ea",
  "venue": "ESAIM: Proceedings and Surveys",
  "versions": []
}