Time/Location: Thurs, 930-1130, 14:00-16:00, RCB 8104
Syllabus (updated Sept 3)
Lecture slides
Sept 12: Introduction
Sept 19: Graphics (scripts)
Sept 26: Design
Oct 3: Linear models
Oct 10: Mixed models
Oct 17: Likelihood
Oct 24: Generalized linear models
Oct 31: Model selection
Nov 7: Bootstrap
Nov 14: Bayesian analysis
Nov 21: Mark-recapture and Occupancy
Nov 28:
Workshops
Sept 12: Introduction to R,
Solution
Sept 19: Graphics,
Solution
Sept 26: Design,
Solution
Oct 3: Linear models,
Solution,
Demo
Oct 10: Mixed effects models,
Solution,
Demo
Oct 17: Likelihood,
Solution
Oct 24: Generalized
linear models,
Solution,
Demo
Oct 31: Model selection,
Solution
Nov 7: Bootstrap,
Solution
Nov 14: Bayesian analysis,
Solution
Nov 21: Introduction to JAGS,
files
Nov 28: Occupancy models,
files
Discussion Papers
Sept 19: wainer-1984-137
Sept 26: hurlbert-1984-187
Oct 3: greenland-2016-337
Oct 10: schielzeth-2008-416 (Also, for background, read up to and including the section "Considerations when fitting random effects" in harrison-2018-4794)
Oct 17: etz-2018-60
Oct 24: zuur-2010-3
Oct 31: tredennick-2021-e03336
Nov 7: felsenstein-1985-783
Nov 14: ellison-2004-509
Nov 21: tingley-2013-598
Nov 28: iknayan-2014-97
Assignments
1: Assignment 1 (due Oct 4)
2: Assignment 2 (due Nov 1)
3: Assignment 3 (due Nov 29)