Particle algorithms for animal movement modelling in receiver arrays
Abstract Particle filters and smoothers are sequential Monte Carlo algorithms used to fit non‐linear, non‐Gaussian state‐space models. These algorithms are well placed to fit process‐oriented models to animal‐tracking data, especially in receiver arrays, but to date they have received limited attent...
محفوظ في:
| المؤلفون الرئيسيون: | , , , , , , , |
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| التنسيق: | Artigo |
| اللغة: | Inglês |
| منشور في: |
Wiley
2025-08-01
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| سلاسل: | Methods in Ecology and Evolution |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://doi.org/10.1111/2041-210X.70028 |
| الوسوم: |
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