Measuring uncertainty in fisheries stock assessment: the delta method, bootstrap, and MCMC

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Assessing sources of uncertainty in length-based estimates of body growth in populations of fishes and macroinvertebrates with bootstrapped ELEFAN (2018, methodology): “…sub-discipline, has been the assessment of the risk of overfishing and stock collapse, usually using Mote Carlo simulations, jackknifing and bootstrapping (Caddy and Defeo, 1996; Hilborn and Peterman, 1996; Francis and Shotton, 1997; Seijo et al., 1998; Seijo et al., 2004; Magnusson et al., 2013).”
A simple length-structured model based on life history ratios and incorporating size-dependent selectivity: application to spawning potential ratios for data-poor stocks (2016, methodology): “Incorporating the model into a Bayesian framework, using Markov chain 623 Monte-Carlo sampling, would also be an important development for this methodology, and 624 provide Bayesian measures of uncertainty (Punt and Hilborn 1997, Magnusson et al. 2013).”