Scalable inference using PMCMC and parallel tempering for high-throughput measurements of biomolecular reaction networks

Leo Bronstein, Heinz Koeppl. Scalable inference using PMCMC and parallel tempering for high-throughput measurements of biomolecular reaction networks. In 55th IEEE Conference on Decision and Control, CDC 2016, Las Vegas, NV, USA, December 12-14, 2016. pages 770-775, IEEE, 2016. [doi]

@inproceedings{BronsteinK16,
  title = {Scalable inference using PMCMC and parallel tempering for high-throughput measurements of biomolecular reaction networks},
  author = {Leo Bronstein and Heinz Koeppl},
  year = {2016},
  doi = {10.1109/CDC.2016.7798361},
  url = {http://dx.doi.org/10.1109/CDC.2016.7798361},
  researchr = {https://researchr.org/publication/BronsteinK16},
  cites = {0},
  citedby = {0},
  pages = {770-775},
  booktitle = {55th IEEE Conference on Decision and Control, CDC 2016, Las Vegas, NV, USA, December 12-14, 2016},
  publisher = {IEEE},
  isbn = {978-1-5090-1837-6},
}