A Minimal Introduction to Ecological Forecasting
1 Overview
2 Preparation for the practical
3 Models and decision making
4 Making forecasts
5 Reproducible research
6 Data Management
7 Going Bayesian
8 Data Fusion
- 8.1 A reminder of Bayes Theorem and its benefits
  - 8.1.1 The benefits of Bayes
- 8.2 Data fusion
  - 8.2.1 Model layers
  - 8.2.2 Hierarchical Bayes and postfire recovery example
9 Latent variables and state-space models
10 Uncertainty
11 Completing the forecast cycle
References
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A Minimal Introduction to Ecological Forecasting

9 Latent variables and state-space models

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