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Intro
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Classroom Contents
Rational Ignorance - Optimal Learning from Complex Mechanistic Models
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- 1 Intro
- 2 Water
- 3 Why simpler models
- 4 Goal of climate modeling
- 5 Central claims
- 6 Outline
- 7 Hessian
- 8 Fischer information
- 9 Sloppy models
- 10 Metric space
- 11 Why sloppiness
- 12 Predictive models vs curve fitting
- 13 Bayesian inference
- 14 Mutual information
- 15 Adapting dimensionality
- 16 Jeffreys prior in dimension 4
- 17 Jeffreys prior in dimension 5
- 18 Jeffreys prior in dimension 26
