Bayesian Models - A Statistical Primer for Ecologists, 2nd Edition : A Statistical Primer for Ecologists, 2nd Edition
Language: English
Published by Princeton University Press Jun 2025, 2025
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
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Neuware - A fully updated and expanded edition of the essential primer on Bayesian modeling for ecologistsUniquely suited to deal with complexity in a statistically coherent way, Bayesian modeling has become an indispensable tool for ecological research. This book teaches the basic principles of mathematics and statistics needed to apply Bayesian models to the analysis of ecological data, using language non-statisticians can understand. Deemphasizing computer coding in favor of a clear treatment of model building, it starts with a definition of probability and proceeds step-by-step through distribution theory, likelihood, simple Bayesian models, and hierarchical Bayesian models. Now revised and expanded, Bayesian Models enables students and practitioners to gain new insights from ecological models and data properly tempered by uncertainty.- Covers the basic rules of probability needed to model diverse types of ecological data in the Bayesian framework- Shows how to write proper mathematical expressions for posterior distributions using directed acyclic graphs as templates- Explains how to use the powerful Markov chain Monte Carlo algorithm to find posterior distributions of model parameters, latent states, and missing data- Teaches how to check models to assure they meet the assumptions of model-based inference- Demonstrates how to make inferences from single and multiple Bayesian models- Provides worked problems for practicing and strengthening modeling skills- Features new chapters on spatial models and modeling missing data.…
Seller Inventory # 9780691250120
- Title
- Bayesian Models - A Statistical Primer for Ecologists, 2nd Edition : A Statistical Primer for Ecologists, 2nd Edition
- Author
- N. Thompson Hobbs
- Publisher
- Princeton University Press Jun 2025
- Publication year
- 2025
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 069125012X
- ISBN 13
- 9780691250120
- Edition
- 2nd Edition
- Item weight
- 744 grams
- Dimensions
- 239x168x27 mm
A fully updated and expanded edition of the essential primer on Bayesian modeling for ecologists
Uniquely suited to deal with complexity in a statistically coherent way, Bayesian modeling has become an indispensable tool for ecological research. This book teaches the basic principles of mathematics and statistics needed to apply Bayesian models to the analysis of ecological data, using language non-statisticians can understand. Deemphasizing computer coding in favor of a clear treatment of model building, it starts with a definition of probability and proceeds step-by-step through distribution theory, likelihood, simple Bayesian models, and hierarchical Bayesian models. Now revised and expanded, Bayesian Models enables students and practitioners to gain new insights from ecological models and data properly tempered by uncertainty.
- Covers the basic rules of probability needed to model diverse types of ecological data in the Bayesian framework
- Shows how to write proper mathematical expressions for posterior distributions using directed acyclic graphs as templates
- Explains how to use the powerful Markov chain Monte Carlo algorithm to find posterior distributions of model parameters, latent states, and missing data
- Teaches how to check models to assure they meet the assumptions of model-based inference
- Demonstrates how to make inferences from single and multiple Bayesian models
- Provides worked problems for practicing and strengthening modeling skills
- Features new chapters on spatial models and modeling missing data
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