Recovering nonlinear dynamics from first-passage events: A Markov process inversion approach with application to gene expression variability

Xuyan Xiang, Beilin Xiang, Jieming Zhou

Open source

DOI: 10.1063/5.0350128
Published: 2026-11-01
Container: Chaos: An Interdisciplinary Journal of Nonlinear Science
Publisher: AIP Publishing
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1063/5.0350128,
  title = {Recovering nonlinear dynamics from first-passage events: A Markov process inversion approach with application to gene expression variability},
  author = {Xuyan Xiang and Beilin Xiang and Jieming Zhou},
  year = {2026},
  journal = {Chaos: An Interdisciplinary Journal of Nonlinear Science},
  doi = {10.1063/5.0350128},
  url = {https://doi.org/10.1063/5.0350128}
}

RIS

TY  - JOUR
TI  - Recovering nonlinear dynamics from first-passage events: A Markov process inversion approach with application to gene expression variability
AU  - Xuyan Xiang
AU  - Beilin Xiang
AU  - Jieming Zhou
PY  - 2026
JO  - Chaos: An Interdisciplinary Journal of Nonlinear Science
DO  - 10.1063/5.0350128
UR  - https://doi.org/10.1063/5.0350128
ER  -

APA

Xiang, X., Xiang, B., & Zhou, J. (2026). Recovering nonlinear dynamics from first-passage events: A Markov process inversion approach with application to gene expression variability. Chaos: An Interdisciplinary Journal of Nonlinear Science. https://doi.org/10.1063/5.0350128

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crossref · retrieved 2026-11-06T05:54:11.671Z