Revisiting Fishery Sustainability Targets.

Density-dependent population dynamic models strongly influence many of the world's most important harvest policies. Nearly all classic models (e.g.

Post-Processing of MCMC.

Markov chain Monte Carlo is the engine of modern Bayesian statistics, being used to approximate the posterior and derived quantities of interest. Despite this, the issue of how the output from a Markov chain is post-processed and reported is often overlooked. Convergence diagnostics can be used to control bias via burn-in removal, but these do not account for (common) situations where a limited computational budget engenders a bias-variance trade-off.