| H. K. Preisler, D. R. Brillinger, A. A. Ager, and J. Kie. Analysis of animal movement using telemetry and gis data. In Proc. ASA Section on Statistics and the Environment, pages 100--105, 1999. 17 |
....translocation using the tools of stochastic calculus combined with appropriate techniques for statistical inference. Methods for modeling single particles are relevant for other biological systems such as subcellular particle tracking [48, 26] and analysis of telemetry data on animal populations [45, 9]. In principle, the SDE approach allows generalization to interacting particles either through using correlated Brownian motions to drive the SDE [8] or through including an interaction in the infinitesimal drift. Investigating cell cell interactions using these methods would be an exciting ....
H. K. Preisler, D. R. Brillinger, A. A. Ager, and J. Kie. Analysis of animal movement using telemetry and gis data. In Proc. ASA Section on Statistics and the Environment, pages 100--105, 1999.
....Such an SDE assumption was needed both in motivating the estimates computed and in estimating the potential function itself. But diffusion processes are Markov, whereas more realistic equations would involve time lags and the process therefore not be Markov. Some related results are presented in [21]. In current work the SDE approach is being further developed as a convenient way to include covariates in the models. ACKNOWLEDGEMENT This paper is dedicated to Don Fraser. But for DASF one of us (DRB) would almost certainly not be a statistician. Don s force field gently deflected DRB from the ....
Preisler, H. K., Brillinger, D. R., Ager, A. A. and Kie, J. G. (1999). Analysis of animal movement using telemetry and GIS data. Proc. ASA Section on Statistics and the Environment.
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H. K. Preisler, D. R. Brillinger, A. A. Ager, and J. Kie. Analysis of animal movement using telemetry and gis data. In Proc. ASA Section on Statistics and the Environment, pages 100--105, 1999. 17
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