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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

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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