23 Day 23 (April 27)

23.1 Announcements

  • Teaching evaluations

    • There will be several questions
    • Should take about 20 min
    • The information you provide is really helpful

  • Please email me to request a 20-30 min time slot between May 1 and May 9 to give your final presentation. When you email me, please give 3 dates/time that work for you.

  • Peer review is posted and due May 5

23.2 Model selection/comparison

  • Live example using regularization R code

  • Live example using Bayesian model averaging R code

23.3 Spatial occupancy models

  • Occupancy models
    • See Ch. 23 in BBM2L
  • Spatial occupancy models
    • The material I present is from Ch. 26 of BBM2L
  • Hybrid Bayesian models that include interpretable parameters (e.g., slopes, intercepts, etc) and less interpretable machine learning approaches are the next cool thing.
    • Combine the best of both worlds
    • Example