Scalable importance sampling estimation of Gaussian mixture posteriors in Bayesian networks

Darío Ramos-López, Andrés R. Masegosa, Antonio Salmerón, Rafael Rumí, Helge Langseth, Thomas D. Nielsen, Anders L. Madsen. Scalable importance sampling estimation of Gaussian mixture posteriors in Bayesian networks. Int. J. Approx. Reasoning, 100:115-134, 2018. [doi]

@article{Ramos-LopezMSRL18,
  title = {Scalable importance sampling estimation of Gaussian mixture posteriors in Bayesian networks},
  author = {Darío Ramos-López and Andrés R. Masegosa and Antonio Salmerón and Rafael Rumí and Helge Langseth and Thomas D. Nielsen and Anders L. Madsen},
  year = {2018},
  doi = {10.1016/j.ijar.2018.06.004},
  url = {https://doi.org/10.1016/j.ijar.2018.06.004},
  researchr = {https://researchr.org/publication/Ramos-LopezMSRL18},
  cites = {0},
  citedby = {0},
  journal = {Int. J. Approx. Reasoning},
  volume = {100},
  pages = {115-134},
}