ABSTRACT

Making statistical modeling and inference more accessible to ecologists and related scientists, Introduction to Hierarchical Bayesian Modeling for Ecological Data gives readers a flexible and effective framework to learn about complex ecological processes from various sources of data. It also helps readers get started on building their own statisti

part I|2 pages

I Basic blocks of Bayesian modeling

chapter 2|22 pages

The Beta-Binomial model

chapter 3|18 pages

The basic Normal model

chapter 5|20 pages

Combining various sources of information

chapter 6|20 pages

The Normal linear model

chapter 8|24 pages

Getting beyond regression models

part II|2 pages

II More elaborate hierarchical structures

chapter 10|36 pages

HBM II: Piling up simple layers

chapter 11|44 pages

HBM III: State-space modeling

chapter 12|32 pages

Decision and planning

chapter |10 pages

A The Normal and Linear Normal model

chapter C|12 pages

C More on Ricker stock-recruitment

chapter |4 pages

D Some predictive and conditional pdfs