Bayesian statistics

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 is an index of relative abundance. However, even relatively simple models such as these can be computationally …

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](https://www.sciencedirect.com/science/article/pii/S2211675317302816) by Quiroz and Prates for the Winter 2019 Space-time reading group at the …

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 chain Monte Carlo, often using general-purpose software such as BUGS, JAGS, and more recently Stan. Stan uses a sampler …

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](https://becarioprecario.bitbucket.io/spde-gitbook/ch-INLA.html) for the Autumn 2018 Space-time reading group at the University of Washington. This chapter focuses on …