Estimating migration proportions from discretely observed continuous diffusion processes
Methodology
2009-09-09 v1 Statistics Theory
Statistics Theory
Abstract
We model two time and space scales discrete observations by using a unique continuous diffusion process with time dependent coefficient. We define new parameters for the large scale model as functions of the small scale distribution cumulants. We use the non - uniform distribution of the observation time intervals to obtain consistent and unbiased estimators for these parameters. Closed form expressions for migration proportions between spatial domains are derived as functions of these parameters. The models are applied to estimate migration patterns from satellite tag data.
Cite
@article{arxiv.0909.1527,
title = {Estimating migration proportions from discretely observed continuous diffusion processes},
author = {V. Calian and G. Stefansson and L. P. Folkow and A. S. Blix},
journal= {arXiv preprint arXiv:0909.1527},
year = {2009}
}
Comments
25 pages, 5 figures