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Bayesian inference with ecological applications

This text is written to provide a mathematically sound but accessible and engaging introduction to Bayesian inference specifically for environmental scientists, ecologists and wildlife biologists. It emphasizes the power and usefulness of Bayesian methods in an ecological context. The advent of fast...

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Bibliographic Details
Main Author: Link, William August
Other Authors: Barker, Richard J.
Format: eBook
Language:English
Published: Amsterdam Elsevier/Academic 2010, 2010
Edition:1st ed
Subjects:
Nature / Natural Resources / Bisacsh
Methode Van Bayes / Gtt
Business & Economics / Green Business / Bisacsh
Ecology / Mathematical Models / Fast / (ocolc)fst00901509
Bayesian Statistical Decision Theory
Ecology / Mathematical Models
Bayesian Statistical Decision Theory / Fast / (ocolc)fst00829019
Ecologische Aspecten / Gtt
Business & Economics / Environmental Economics / Bisacsh
Online Access:
Collection: Elsevier ScienceDirect eBooks - Collection details see MPG.ReNa
Table of Contents:
  • Includes bibliographical references and indexes
  • Chapter 1. Bayesian Inference
  • Chapter 2. Probability
  • Chapter 3. Statistical Inference
  • Chapter 4. Posterior Calculations
  • Chapter 5. Bayesian Prediction
  • Chapter 6. Priors
  • Chapter 7. Multimodel Inference
  • Chapter 8. Hidden Data Models
  • Chapter 9. Closed-Population Mark-Recapture Models
  • Chapter 10. Latent Multinomials
  • Chapter 11. Open Population Models
  • Chapter 12. Individual Fitness
  • Chapter 13. Autoregressive Smoothing

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