Bringing Bayesian Models to Life: 1st Edition (Hardback) book cover

Bringing Bayesian Models to Life

1st Edition

By Mevin B. Hooten, Trevor Hefley

CRC Press

352 pages | 76 B/W Illus.

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Hardback: 9780367198480
pub: 2019-06-10
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Bayesian statistical modeling is essential in ecological and environmental science, but most users of these approaches are limited to implementing Bayesian models with automated software. This book presents details and algorithms for fully Bayesian computation, primarily for students and practitioners in the ecological and environmental sciences. It empowers the reader to extend and enhance statistical models for such data without software limitations. It teaches fundamental aspects of how to connect statistical models to computer algorithms so that they can implement their own models that are specific their problem of interest without limitation.

Table of Contents

Background. Bayesian Models. Numerical Integration. Monte Carlo. Markov Chain Monte Carlo. Importance Sampling. Basic Models and Concepts. Bernoulli – Beta. Normal-Normal. Normal-Inverse Gamma. Normal-Normal-Inverse Gamma. Intermediate Models and Concepts. Mixture Models. Linear Regression. Posterior Prediction. Model Comparison. Regularization. Bayesian Model Averaging. Time Series Models. Spatial Models. Advanced Models and Concepts. Quantile Regression. Hierarchical Models.Binary Regression. Count Data Regression. Zero-Inflated Models. Occupancy Models. Abundance Models. Expert Models and Concepts. Integrated Population Models. Spatial Occupancy Models. Spatial Capture-Recapture Models. Spatio-Temporal Models. Hamiltonian Monte Carlo.

About the Authors

Mevin B. Hooten is a Professor in the Departments of Fish, Wildlife, & Conservation Biology and Statistics at Colorado State University. He is also Assistant Unit Leader of the Colorado Cooperative Fish and Wildlife Research Unit (U.S. Geological Survey) and a Fellow of the American Statistical Association. He earned his PhD in Statistics at the University of Missouri and focuses on the development of statistical methodology for spatial and spatio-temporal ecological processes.

Trevor J. Hefley is an Assistant Professor in the Department of Statistics at Kansas State University. He earned a PhD in Statistics and Natural Resource Science at the University of Nebraska - Lincoln and focuses on developing and applying spatiotemporal statistical methods to inform conservation and management of fish and wildlife populations.

About the Series

Chapman & Hall/CRC Applied Environmental Statistics

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Subject Categories

BISAC Subject Codes/Headings:
MATHEMATICS / Probability & Statistics / General
NATURE / Ecology
SCIENCE / Life Sciences / Zoology / General