Population dynamics models have long assumed that populations are composed of a
restricted number of groups, where individuals in each group have identical demographic …

Bringing Bayesian Models to Life empowers the reader to extend, enhance, and implement
statistical models for ecological and environmental data analysis. We open the black box …

A guide to data collection, modeling and inference strategies for biological survey data using
Bayesian and classical statistical methods. This book describes a general and flexible …

Linking the movement and behaviour of animals to their environment is a central problem in
ecology. Through the use of electronic tagging and tracking (ETT), collection of in situ data …

Trends of animal populations are of great interest in ecology but cannot be directly observed
owing to imperfect detection. Binomial mixture models use replicated counts to estimate …

Burmese pythons (Python molurus bivittatus) are native to southeastern Asia, however, there
is an established invasive population inhabiting much of southern Florida throughout the …

Population assessment in changing environments is challenging because factors governing
abundance may also affect detectability and thus bias observed counts. We describe a …

Using simulation techniques, Hubbard et al 1 compare mixed (also known as multilevel or
hierarchical) 2, 3 and marginal (also known as population average or generalized …

Geographic profiling (GP) was originally developed as an analytical tool in criminology,
where it uses the spatial locations of linked crimes (for example murder, rape or arson) to …

We develop a new Gibbs sampler for a linear mixed model with a Dirichlet process random
effect term, which is easily extended to a generalized linear mixed model with a probit link …