Reliable and efficient parameter estimation using approximate continuum limit descriptions of stochastic models

Research article (Journal of Theoretical Biology, 2022) · cited 20× · AI/ML
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Reliable and efficient parameter estimation using approximate continuum limit descriptions of stochastic models

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Reliable and efficient parameter estimation using approximate continuum limit descriptions of stochastic models is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Reliable and efficient parameter estimation using approximate continuum limit descriptions of stochastic models. Retrieved May 24, 2026, from https://4ort.xyz/entity/reliable-and-efficient-parameter-estimation-using-approximate-continuum-limit-descriptions-of-stochastic-models
MLA “Reliable and efficient parameter estimation using approximate continuum limit descriptions of stochastic models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/reliable-and-efficient-parameter-estimation-using-approximate-continuum-limit-descriptions-of-stochastic-models.
BibTeX @misc{4ortxyz_reliable-and-efficient-parameter-estimation-using-approximate-continuum-limit-descriptions-of-stochastic-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Reliable and efficient parameter estimation using approximate continuum limit descriptions of stochastic models}}, year = {2026}, url = {https://4ort.xyz/entity/reliable-and-efficient-parameter-estimation-using-approximate-continuum-limit-descriptions-of-stochastic-models}, note = {Accessed: 2026-05-24}}
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