SPRING 2016
9:30-10:45 T,TH 4-418
Week 1 ( 12- 14 January) Intro to modeling and estimation.
Week 2 (19-21 January) Statistical principles- MLE and model selection
Week 3 (26- 28 January) Statistical principles- Bayesian inference; sample and experimental design
Week 4 (2- 4 February) Abundance estimation: Introduction, count based methods, distance estimation
Week 5 (9-11 February) Occupancy estimation
Week 6 (16-18 February) Capture-mark-recapture (CMR)
Week 7 (23-25 February) CMR 2- Spatial CMR and Mark-resighting
Week 8 (1 - 3 March) Open estimation- intro, age analysis,known fates
SPRING BREAK 7-11 March
Week 9 (15-17 March) Open estimation CMR: Cormack-Jolly-Seber models
Week 10 (22-24 March) Recruitment and abundance estimation in open populations
Week 11 (29 - 31 March) Robust design extensions and multi-state models
Week 12 (5 - 7 April) Tag/band recovery models
Week 13 (12 - 14 April) Bayesian approaches to estimation
Week 14 (19 - 21 April) Hierarchical and integrated modeling
Week 15 (26 - 28 April*) Wrap up and discussion/ Project presentations
*LAST CLASS DAY