MCMC

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 …

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 …