STA306
Article Reproduction: A Bayesian State-Space Formulation of Dynamic Occupancy Models
Overview
- Final Project – Bayesian Statistics (Grade: 93)
- We reproduced the Bayesian state-space framework to estimate dynamic occupancy, extinction, and colonization rates while addressing detection errors.
- Using the European Crossbill dataset, MCMC with Gibbs sampling analyzes temporal and spatial occupancy dynamics.
- Environmental covariates (e.g., precipitation, temperature) are integrated to improve model performance, assessed via DIC.