Birth-Death MCMC Approach for Multivariate Beta Mixture Models in Medical Applications

Mahsa Amirkhani, Narges Manouchehri, Nizar Bouguila. Birth-Death MCMC Approach for Multivariate Beta Mixture Models in Medical Applications. In Hamido Fujita, Ali Selamat, Jerry Chun-Wei Lin, Moonis Ali, editors, Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices - 34th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2021, Kuala Lumpur, Malaysia, July 26-29, 2021, Proceedings, Part I. Volume 12798 of Lecture Notes in Computer Science, pages 285-296, Springer, 2021. [doi]

@inproceedings{AmirkhaniMB21,
  title = {Birth-Death MCMC Approach for Multivariate Beta Mixture Models in Medical Applications},
  author = {Mahsa Amirkhani and Narges Manouchehri and Nizar Bouguila},
  year = {2021},
  doi = {10.1007/978-3-030-79457-6_25},
  url = {https://doi.org/10.1007/978-3-030-79457-6_25},
  researchr = {https://researchr.org/publication/AmirkhaniMB21},
  cites = {0},
  citedby = {0},
  pages = {285-296},
  booktitle = {Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices - 34th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2021, Kuala Lumpur, Malaysia, July 26-29, 2021, Proceedings, Part I},
  editor = {Hamido Fujita and Ali Selamat and Jerry Chun-Wei Lin and Moonis Ali},
  volume = {12798},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-79457-6},
}