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Reflected Stochastic Differential Equation Models for Constrained Animal Movement
Author(s) -
Ephraim M. Hanks,
Devin S. Johnson,
Mevin B. Hooten
Publication year - 2017
Publication title -
journal of agricultural biological and environmental statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.621
H-Index - 52
eISSN - 1537-2693
pISSN - 1085-7117
DOI - 10.1007/s13253-017-0291-8
Subject(s) - inference , computer science , stochastic differential equation , movement (music) , stochastic modelling , path (computing) , mathematical optimization , spacetime , mathematics , statistics , artificial intelligence , philosophy , programming language , aesthetics , physics , quantum mechanics
Movement for many animal species is constrained in space by barriers such as rivers, shorelines, or impassable cliffs. We develop an approach for modeling animal movement constrained in space by considering a class of constrained stochastic processes, reflected stochastic differential equations. Our approach generalizes existing methods for modeling unconstrained animal movement. We present methods for simulation and inference based on augmenting the constrained movement path with a latent unconstrained path and illustrate this augmentation with a simulation example and an analysis of telemetry data from a Steller sea lion () in southeast Alaska.

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