Methods for population estimation and inference have evolved over the pa...
To study population dynamics, ecologists and wildlife biologists use rel...
The Alaskan landscape has undergone substantial changes in recent decade...
Ecologists increasingly rely on Bayesian capture-recapture models to est...
In many applications, a signal is deformed by well-understood dynamics b...
We propose a multistage method for making inference at all levels of a
B...
Agent-based methods allow for defining simple rules that generate comple...
Most statistical inference for animal trajectories has primarily arisen ...
Binary regression models are ubiquitous in virtually every scientific fi...
Multivariate compositional count data arise in many applications includi...
Bayesian models are naturally equipped to provide recursive inference be...
Bayesian models are naturally equipped to provide recursive inference be...
The analysis of animal tracking data provides an important source of
sci...
We clarify relationships between conditional (CAR) and simultaneous (SAR...