Particle MCMC algorithms and architectures for accelerating inference in state-space models.
- DOI
- 10.1016/j.ijar.2016.10.011
- Published
- 2017 Apr
- Container
- International journal of approximate reasoning : official publication of the North American Fuzzy Information Processing Society
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.ijar.2016.10.011,
title = {Particle MCMC algorithms and architectures for accelerating inference in state-space models.},
author = {Mingas G and Bottolo L and Bouganis CS},
year = {2017},
journal = {International journal of approximate reasoning : official publication of the North American Fuzzy Information Processing Society},
doi = {10.1016/j.ijar.2016.10.011},
url = {https://doi.org/10.1016/j.ijar.2016.10.011}
}RIS
TY - JOUR TI - Particle MCMC algorithms and architectures for accelerating inference in state-space models. AU - Mingas G AU - Bottolo L AU - Bouganis CS PY - 2017 JO - International journal of approximate reasoning : official publication of the North American Fuzzy Information Processing Society DO - 10.1016/j.ijar.2016.10.011 UR - https://doi.org/10.1016/j.ijar.2016.10.011 ER -
APA
G, M., L, B., & CS, B. (2017). Particle MCMC algorithms and architectures for accelerating inference in state-space models.. International journal of approximate reasoning : official publication of the North American Fuzzy Information Processing Society. https://doi.org/10.1016/j.ijar.2016.10.011
Source records
- pubmed · retrieved 2026-09-26T02:35:55.748Z
- europe-pmc · retrieved 2026-09-26T02:35:55.764Z