|
Unit 1: Foundations of Bayesian inference
|
|
1 (Jan. 7 & 9)
|
Intro to WILD6900 and statistical modeling in ecology
|
Projects and directories/ Intro to R Markdown
|
H&H chp. 1
|
|
2 (Jan. 14 & 15)
|
Probability models and stochasticity
|
Manipulating, tidying, & visualizing data in R
|
H&H chp. 2-3
|
|
3 (Jan. 21 & 23)
|
Principles of Bayesian inference
|
Data simulation techniques/Informative priors
|
H&H chp. 5
|
|
4 (Jan. 28 & 30)
|
Implementing Bayesian models: MCMC samplers and JAGS
|
Building simple samplers in R
|
H&H chp. 7
|
|
5 (Feb. 4 & 6)
|
Generalized linear models
|
Introduction to JAGS/Regression analysis using JAGS
|
H&H chp. 6, K&S chp. 3
|
|
6 (Feb. 11 & 13)
|
Generalized linear models (cont.)/Hierarchical models
|
Poisson GLMM for count data
|
K&S chp. 3 & 4
|
|
Unit 2: Abundance and occupancy
|
|
7 (Feb. 18 & 20)
|
Estimating indices abundance from count data
|
State-space models
|
K&S chp. 5
|
|
8 (Feb. 25 & 27)
|
Estimating abundance from count data
|
Basic N-mixture model & variations
|
K&S chp. 12
|
|
9 (Mar. 3 & 5)
|
Estimating occupancy from presence/absence data
|
Static and dynamic occupancy models
|
K&S chp. 13
|
|
10 (Mar. 10 & 12)
|
Spring break - no class
|
Spring break - no class
|
|
|
11 (Mar. 17 & 19)
|
Estimating abundance: Closed-population capture-mark-recapture
|
M0, Mt, Mb, Mh models
|
K&S chp. 6
|
|
12 (Mar. 24 & 26)
|
Estimating survival: Open-population capture-mark-recapture
|
Cormack-Jolly-Seber models
|
K&S chp. 7
|
|
13 (Mar. 31 & Apr. 2)
|
Estimating abundance and survival: Open-population capture-mark-recapture
|
Jolly-Seber models
|
K&S chp. 10
|
|
Unit 3: Advanced models
|
|
14 (Apr. 7 & 9)
|
Multi-state models
|
Estimating movement rates using multi-state models
|
K&S chp. 9
|
|
15 (Apr. 14 & 16)
|
TBD
|
|
|
|
16 (Apr. 21 & 23)
|
TBD
|
|
|