2019
Parameterizations for Bayesian state-space surplus production models
Bayesian state-space surplus production models are commonly applied in fisheries stock assessment when the only information available …
Combining fishery-independent and -dependent catch observations in a single index of abundance by allowing for spatially varying catchability
For fisheries where both fishery-independent and -dependent catch observations are available, spatiotemporally standardized indices of …
Bayesian spatio-temporal modelling of anchovy abundance through the SPDE approach
A discussion of Bayesian spatio-temporal modelling of anchovy abundance through the SPDE approach by Quiroz and Prates for the Winter …
2018
Reparameterizing Bayesian state-space models for more reliable fits
Bayesian state space models have played an important role in fisheries for many years. These models are typically fit using Markov …
Advanced Spatial Modeling with SPDEs using R and INLA, Chapter 1
A discussion of Chapter 1 in Advanced Spatial Modeling with SPDEs using R and INLA for the Autumn 2018 Space-time reading group at the …
Nonstationarity in Spatiotemporal Fisheries Models
Many fish species occur in areas with complicated geography. Natural barriers such as islands and coastlines mean that the spatial …
A spatiotemporal model for combining survey and fishery data
Sustainable fisheries management requires the best stock assessments available in order to determine the current state of a stock and …
Fishery-dependent data in a spatio-temporal context
Spatially-explicit catch and effort data is increasingly available, and may provide an important source of information for estimating …