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.