Features of Application of Monte Carlo Method with Markov Chain Algorithms in Bayesian Data Analysis

Peter Bidyuk, Yoshio Matsuki, Aleksandr Gozhyj, Volodymyr Beglytsia, Irina Kalinina. Features of Application of Monte Carlo Method with Markov Chain Algorithms in Bayesian Data Analysis. In Natalya Shakhovska, Mykola O. Medykovskyy, editors, Advances in Intelligent Systems and Computing IV - Selected Papers from the International Conference on Computer Science and Information Technologies, CSIT 2019, September 17-20, 2019, Lviv, Ukraine. Volume 1080 of Advances in Intelligent Systems and Computing, pages 361-376, Springer, 2019. [doi]

@inproceedings{BidyukMGBK19,
  title = {Features of Application of Monte Carlo Method with Markov Chain Algorithms in Bayesian Data Analysis},
  author = {Peter Bidyuk and Yoshio Matsuki and Aleksandr Gozhyj and Volodymyr Beglytsia and Irina Kalinina},
  year = {2019},
  doi = {10.1007/978-3-030-33695-0_25},
  url = {https://doi.org/10.1007/978-3-030-33695-0_25},
  researchr = {https://researchr.org/publication/BidyukMGBK19},
  cites = {0},
  citedby = {0},
  pages = {361-376},
  booktitle = {Advances in Intelligent Systems and Computing IV - Selected Papers from the International Conference on Computer Science and Information Technologies, CSIT 2019, September 17-20, 2019, Lviv, Ukraine},
  editor = {Natalya Shakhovska and Mykola O. Medykovskyy},
  volume = {1080},
  series = {Advances in Intelligent Systems and Computing},
  publisher = {Springer},
  isbn = {978-3-030-33695-0},
}