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Bayesian Latent Class Analysis with Shrinkage Priors: An Application to the Hungarian Heart Disease Data

  • Bettina Grün
  • , Gertraud Malsiner Walli

Research output: Chapter in Book/Report/Conference proceedingConference proceedings

Original languageEnglish
Title of host publicationASMOD 2018 - Proceedings of the International Conference on Advances in Statistical Modelling of Ordinal Data
Editors Stefania Capecchi, Francesca Di Iorio, Rosaria Simone
Pages13-24
Number of pages12
Publication statusPublished - 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Fields of science

  • 101018 Statistics
  • 509 Other Social Sciences

JKU Focus areas

  • Computation in Informatics and Mathematics
  • Social Systems, Markets and Welfare States
  • Mixture models

    Grün, B. (PI)

    01.01.201231.12.2020

    Project: OtherProject from scientific scope of research unit

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