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...

Бүрэн тодорхойлолт

Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Edward Lavender, Andreas Scheidegger, Carlo Albert, Stanisław W. Biber, Janine Illian, James Thorburn, Sophie Smout, Helen Moor
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	Wiley 2025-08-01
Цуврал:	Methods in Ecology and Evolution
Нөхцлүүд:	animal tracking movement ecology passive acoustic telemetry patter state‐space model utilisation distribution
Онлайн хандалт:	https://doi.org/10.1111/2041-210X.70028
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!