Reflections on mathematical modeling (II)

Brain data dump...

levels of formalization:

• what do previous data tell us - deterministic models (e.g., average, linear regression)
• what do previous data tell us - stochastic models (e.g., range, standard dev., standard error)
• increased sophistication (e.g., non-normal forms of stochasticity: null models, interesting parametric distributions).
  
• meta-analysis - combining previous empirical studies
  
• models with and without feedback or loops

Learning a language, learning modeling concepts.

Modeling data, modeling dynamics.

Learning by,

1. copying,
2. applying,
3. combining,
4. creating.