JSM 2004 - Toronto

Abstract #300033

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Activity Number: 173
Type: Invited
Date/Time: Tuesday, August 10, 2004 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics and the Environment
Abstract - #300033
Title: Incorporating Movement into Hidden Process Models
Author(s): Ken B. Newman*+
Companies: University of St. Andrews
Address: Centre for Research into Ecol. and Envir. Modellin, St. Andrews, International, KY16 9LZ, Scotland
Keywords: sequential importance sampling ; state-space model
Abstract:

Hidden process models, which include state-space models as a special case, are a useful framework for simultaneously describing the evolution of an animal population and observations made of the population. Movement, natural mortality, birth, maturation, and man-induced mortality can be characterized as a sequence of stochastic subprocesses that link the state of the animal population at time t-1 to its state at time t. Computer-intensive procedures, such as sequential importance sampling, make inference for complex, nonlinear,and non-Gaussian processes feasible. A model for the British grey seal metapopulation which includes movement of maturing females from their natal colony will be presented.

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Revised March 2004