"Everything should be made as simple as possible, but not simpler." - Albert Einstein

Seminar Announcement

Of Seals and Statistics: Modeling northern fur seal movement

Devin Johnson, PhD, National Marine Mammal Laboratory, Alaska Fisheries Science Center, NOAA.

Monday, February 9, 2009

4:00 pm 223 Weber

ABSTRACT
Marine mammal telemetry data is obtained by determining the location of an animal in space at several points in time. The observed locations are function of two important factors, true location and measurement error. In order to handle the fact that most telemetry data is collected opportunistically on an irregular basis we consider a movement model stochastic process in continuous time. Using this approach likelihood can be formed using the raw data instead of aggregated, thinned, or interpolated data. Bayesian methods are explored for making inference on animal locations as well as other movement quantities of interest, such as travel speed. The Bayesian inference paradigm allows for inclusion of parameter uncertainty in location estimation, as well as, propagation of uncertainty through nonlinear relationships in the movement parameters of interest.