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|Additional Physical Format:||Print version:
Hobbs, N. Thompson.
Princeton, New Jersey : Princeton University Press, 
|Material Type:||Document, Internet resource|
|Document Type:||Internet Resource, Computer File|
|All Authors / Contributors:||
N Thompson Hobbs; Mevin B Hooten
|Description:||1 online resource.|
|Contents:||Cover; Title; Copyright; Contents; Preface; I Fundamentals; 1 PREVIEW; 1.1 A Line of Inference for Ecology; 1.2 An Example Hierarchical Model; 1.3 What Lies Ahead?; 2 DETERMINISTIC MODELS; 2.1 Modeling Styles in Ecology; 2.2 A Few Good Functions; 3 PRINCIPLES OF PROBABILITY; 3.1 Why Bother with First Principles?; 3.2 Rules of Probability; 3.3 Factoring Joint Probabilities; 3.4 Probability Distributions; 4 LIKELIHOOD; 4.1 Likelihood Functions; 4.2 Likelihood Profiles; 4.3 Maximum Likelihood; 4.4 The Use of Prior Information in Maximum Likelihood; 5 SIMPLE BAYESIAN MODELS; 5.1 Bayes' Theorem. 5.2 The Relationship between Likelihood and Bayes'5.3 Finding the Posterior Distribution in Closed Form; 5.4 More about Prior Distributions; 6 HIERARCHICAL BAYESIAN MODELS; 6.1 What Is a Hierarchical Model?; 6.2 Example Hierarchical Models; 6.3 When Are Observation and Process Variance Identifiable?; II Implementation; 7 MARKOV CHAIN MONTE CARLO; 7.1 Overview; 7.2 How Does MCMC Work?; 7.3 Specifics of the MCMC Algorithm; 7.4 MCMC in Practice; 8 INFERENCE FROM A SINGLE MODEL; 8.1 Model Checking; 8.2 Marginal Posterior Distributions; 8.3 Derived Quantities. 8.4 Predictions of Unobserved Quantities8.5 Return to the Wildebeest; 9 INFERENCE FROM MULTIPLE MODELS; 9.1 Model Selection; 9.2 Model Probabilities and Model Averaging; 9.3 Which Method to Use?; III Practice in Model Building; 10 WRITING BAYESIAN MODELS; 10.1 A General Approach; 10.2 An Example of Model Building: Aboveground Net Primary Production in Sagebrush Steppe; 11 PROBLEMS; 11.1 Fisher's Ticks; 11.2 Light Limitation of Trees; 11.3 Landscape Occupancy of Swiss Breeding Birds; 11.4 Allometry of Savanna Trees; 11.5 Movement of Seals in the North Atlantic; 12 SOLUTIONS. 12.1 Fisher's Ticks12.2 Light Limitation of Trees; 12.3 Landscape Occupancy of Swiss Breeding Birds; 12.4 Allometry of Savanna Trees; 12.5 Movement of Seals in the North Atlantic; Afterword; Acknowledgments; A Probability Distributions and Conjugate Priors; Bibliography; Index.|
|Responsibility:||N. Thompson Hobbs and Mevin B. Hooten.|
"A refreshing and solid read for anyone confused or distracted by Bayesian recipe books."--Carsten F. Dormann, Quarterly Review of Biology