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Activity Number: 10 - State Space Assessment Models for Complex Fisheries and Biological Data
Type: Invited
Date/Time: Sunday, July 29, 2018 : 2:00 PM to 3:50 PM
Sponsor: Canadian Statistical Sciences Institute
Abstract #326823 Presentation
Title: State-Space Modeling Applications in Fisheries Science and Management
Author(s): Sean Patrick Cox*
Companies: Simon Fraser University
Keywords: state-space models; fisheries; predator-prey models; correlation structure; age-structured models; ecosystem-based management
Abstract:

The dynamical processes driving fish stock abundance and productivity are often hidden by observation and process noise that is embedded within complex population structure (e.g., age, size, spatial location). State-space models are useful in fisheries science for testing specific hypotheses about both the underlying dynamical process parameters as well as the structure of stochastic processes. Insights drawn from state-space modeling of population processes are increasingly used to test robustness of fisheries harvest strategies. In this talk, I present state-space modeling applications to a series of increasingly complex fisheries problems and data sets for large-scale Canadian fisheries


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

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