bookJul 17, 2008Closed access

Hierarchical Modeling and Inference in Ecology: The Analysis of Data from Populations, Metapopulations and Communities

Abstract

A guide to data collection, modeling and inference strategies for biological survey data using Bayesian and classical statistical methods. This book describes a general and flexible framework for modeling and inference in ecological systems based on hierarchical models, with a strict focus on the use of probability models and parametric inference. Hierarchical models represent a paradigm shift in the application of statistics to ecological inference problems because they combine explicit models of ecological system structure or dynamics with models of how ecological systems are observed. The principles of hierarchical modeling are developed and applied to problems in population, metapopulation, community, and…

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1,180
total citations
FWCI
51.90
Percentile
100%
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Authors

2

Topics & keywords

Keywords
  • Metapopulation
  • Inference
  • Computer science
  • Bayesian inference
  • Ecology
  • Population
  • Bayesian hierarchical modeling
  • Bayesian probability
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