Kernel-Based Particle Filtering for Scalable Inference in Partially Observed Boolean Dynamical Systems.

Alali M, Imani M

DOI: 10.1016/j.ifacol.2024.08.495
Published: 2024
Container: IFAC-PapersOnLine
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1016/j.ifacol.2024.08.495,
  title = {Kernel-Based Particle Filtering for Scalable Inference in Partially Observed Boolean Dynamical Systems.},
  author = {Alali M and Imani M},
  year = {2024},
  journal = {IFAC-PapersOnLine},
  doi = {10.1016/j.ifacol.2024.08.495},
  url = {https://doi.org/10.1016/j.ifacol.2024.08.495}
}

RIS

TY  - JOUR
TI  - Kernel-Based Particle Filtering for Scalable Inference in Partially Observed Boolean Dynamical Systems.
AU  - Alali M
AU  - Imani M
PY  - 2024
JO  - IFAC-PapersOnLine
DO  - 10.1016/j.ifacol.2024.08.495
UR  - https://doi.org/10.1016/j.ifacol.2024.08.495
ER  -

APA

M, A., & M, I. (2024). Kernel-Based Particle Filtering for Scalable Inference in Partially Observed Boolean Dynamical Systems.. IFAC-PapersOnLine. https://doi.org/10.1016/j.ifacol.2024.08.495

Source records

pubmed · retrieved 2026-09-25T10:29:43.223Z
europe-pmc · retrieved 2026-09-25T10:29:43.239Z