Abstract
Correction to 'Bayesian inference reveals positive but subtle effects of experimental fishery closures on marine predator demographics'.
Highlights
It has recently come to our attention that we made a coding error while implementing the hierarchical mixed-models describing chick condition and chick survival (equations (2.1) and (2.2), respectively) in ‘Bayesian inference reveals positive but subtle effects of experimental fishery closures on marine predator demographics’ [1]
Our error, which pertained to the specification of the structure of the priors for the nested random effects, influenced the derived parameter estimates of the mean chick condition or chick survival during closed and open years more than the estimates for the regression coefficients representing the island effect (–0.8 to 9%), closure effect (4–8%) or their interaction (6–8%)
Gelman [3] recommends using a half-Cauchy distribution with scale = 25 as a vague prior for the variance terms associated with the hierarchical random effects
Summary
It has recently come to our attention that we made a coding error while implementing the hierarchical mixed-models describing chick condition and chick survival (equations (2.1) and (2.2), respectively) in ‘Bayesian inference reveals positive but subtle effects of experimental fishery closures on marine predator demographics’ [1]. We present corrected results (table 1 and figure 1) based on correctly specified models in JAGS [2] applied to the datasets used in our original analysis.
Sign-in/Register to view highlights & summary 
Published Version (
Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call