Bayesian stock assessment: a review and example application using the logistic model
By M. Mcallister, G. Kirkwood. 1998
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Francisco Herrera
- Salvador Garcia
- Daniel Molina
- Javier Del Ser
- Alejandro Barredo Arrieta
- Mark N. Maunder
- Natalia Díaz Rodríguez
- Alberto Fernández
Citations in the corpus
- Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI (2019, positive): “Bayesian models have been shown to lead to great insights in assorted applications such as cognitive modeling [201,202] , fishery [196,203] , gaming [204] , climate [205] , economet-rics [206] or robotics [207] .”
- Multispecies modelling of some components of the marine community of northern and central Patagonia, Argentina (2005, methodology): “We did this by implementing the sample–importance–resample algorithm (Punt and Hilborn 1997; McAllister and Kirkwood 1998; Gelman et al. 2000).”
- Recruitment models: diagnosis and prognosis (2001, methodology): “This application of Bayes’ theorem is discussed further in McAllister and Kirkwood (1998).”
- Estimating riverine fish population size from single- and multiple-pass removal sampling using a hierarchical model (2002, background): “Bayesian methods are becoming increasingly common in fisheries management (Punt and Hilborn 1997; McAllister and Kirkwood 1998), where the probabilistic approach provides a natural basis for decision making.”
- An improved method for estimating individual growth variability in fish, and the correlation between von Bertalanffy growth parameters (2002, methodology): “There has been a feature of most Bayesian assessment methods described in the recent fisheries literature (e.g., Hilborn et al. 1994; Hoenig et al. 1994; McAllister and Kirkwood 1998).”
- Estimation of recruitment in catch-at-age models (2003, methodology): “Bayesian analysis has been used in several fisheries applications (e.g., McAllister et al. 1994; Maunder et al. 2000; Maunder and Starr 2001) and has recently been reviewed by Punt and Hilborn (1997) and McAllister and Kirkwood (1998).”