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比较最大概率和贝叶斯方法,将隐藏的马尔科夫模型与伊利诺伊河入侵鱼的多州捕获-重新捕获数据相匹配

Charles J Labuzzetta1, Alison A Coulter2, Richard A Erickson3

  • 1U.S. Geological Survey, Upper Midwest Environmental Sciences Center, 2630 Fanta Reed Road, La Crosse, WI, 54603, USA. clabuzzetta@usgs.gov.

Movement ecology
|January 8, 2024
PubMed
概括

隐藏的马尔科夫模型 (HMMs) 提供灵活的生态建模. 结合贝叶斯式和最大概率方法来捕获-重新捕获数据,可以改善生态洞察力和管理策略,特别是对于入侵物种.

关键词:
贝叶斯的方法 贝叶斯的方法隐藏的马尔科夫模型侵入性物种是一种入侵性物种.最大的可能性.多国家捕获-重新捕获.人口生态学 人口生态学远程测量是一种远程测量.

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Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
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