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Activity Number: 238 - SPEED: Environment and Health, Governmental Policies and Population Surveys, Part 1
Type: Contributed
Date/Time: Monday, July 29, 2019 : 2:00 PM to 3:50 PM
Sponsor: Section on Bayesian Statistical Science
Abstract #305021 Presentation 1 Presentation 2
Title: Optimal Sampling Regimes for Estimating Population Dynamics
Author(s): Rebecca Bergee*
Keywords: Populations Dynamics; Bayesian Design Criteria; Lotka-Volterra; Bayesian Hierarchical Modeling

Environmental managers are interested in the composition of species in waterways in northern Queensland, Australia. Traditionally, the sampling of the species has been recorded on a regular time frequency. However, the locations for sampling are limited in access making the process expensive. Due to constraints on available resources, cost, and time, limited sampling decreases the precision of parameter estimates of our model. We propose a novel approach to selecting sampling times based on the dynamics associated with the populations of species residing in the site. This employs the use of experimental design techniques to determine the optimal design points that maximize the information extracted from the data.

Authors who are presenting talks have a * after their name.

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