A Bayesian hierarchical model for over-dispersed count data: A case study for abundance of hake recruits

Jorge M. Mendes, K. F. Turkman, Ernesto Jardim

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

In this paper, we introduce a Bayesian Hierarchical model to estimate the abundance of hake recruits, as well as to study their spatial distributional patterns in the Portuguese territorial waters. Main objective of the paper is to improve on traditional empirical methods based on sampling averages and variances by using probabilistic models that capture spatial dependence structures.

Original languageEnglish
Pages (from-to)27-53
Number of pages27
JournalEnvironmetrics
Volume18
Issue number1
DOIs
Publication statusPublished - Feb 2007

Keywords

  • Abundance index
  • Bayesian hierarchical models
  • Gibbs sampling
  • Hake recruitment
  • MCMC
  • Over-dispersed count data

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