Shipping Estimate
USA
- USA
- CAN
- USA
- CAN
Ships within 48 hours · Estimated delivery Jul 11 - Jul 16
Promo Codes Available:
For Your Every Summer RSVP, with Code: SUMMER15
Description
Bayesian ModelsCondition: BRAND NEW ISBN: 9780691250120 Format: Trade binding Year: 2025 Publisher: Princeton University Press Description: 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
Condition: BRAND NEWISBN: 9780691250120
Format: Trade binding
Year: 2025
Publisher: Princeton University Press
Description:
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
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
- Delivery to the USA:
- Standard Shipping : 3-10 business days
- If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
- We offer a 30-day return/exchange service after receiving.
- Final sale items are not eligible for returns or exchanges.
- To process your return/exchange, please contact us at [email protected]
- Please click here for more details>>> Return & Exchange Policy