|Date:||Thursday, October 23, 2014|
We formulate robust state space models and develop inference
tools in the context of fisheries science and management. Our
prototype model concerns the maturity of fish by age over time,
knowledge of which is fundamental to understanding the dynamics and
productivity of fish stocks, a key component in fish stock
assessment. Our state space model incorporates dynamics over time and
yields robust estimates of the proportion of fish mature at various
ages for a collection of cohorts of interest. The estimates are
obtained using an iterative weighted likelihood where the
high-dimensional unobserved dynamics of the state space model and the
optimization over the fixed parameters are handled with the Automatic
Differentiation Model Builder. The data used to both demonstrate and
validate our new approach comes from the annual sampling program of
Fisheries and Oceans Canada, the primary scientific and regulatory
body responsible for stock assessments.
Statistics seminar: Miroslaw Pawlak: “Nearest Neighbor Estimates for Nonlinear Time Series Systems” — Thursday, November 23 at 2:45 p.m., 301 Biological Sciences.
PIMS lecture: Anthony Bonato — Thursday, November 30 at 4 p.m., Robert Schultz Theatre.
Interdisciplinary seminar: Lena Kourkoutis — Friday, December 1 at 4 p.m., Robert Schultz Theatre.