Thanks for bringing this up. I was unsure what terminology would be best here.
I mainly have in mind fermi models and more complex but similar-in-theory estimations. But I believe this could extend gracefully for more complex models. I don’t know of many great “ontologies of types of mathematical models,” so am not sure how to best draw the line.
Here’s a larger list that I think could work.
Fermi estimates
Cost-benefit models
Simple agent-based models
Bayesian models
Physical or social simulations
Risk assessment models
Portfolio optimization models
I think this framework is probably more relevant for models estimating an existing or future parameter, than models optimizing some process, if that helps at all.
Thanks for bringing this up. I was unsure what terminology would be best here.
I mainly have in mind fermi models and more complex but similar-in-theory estimations. But I believe this could extend gracefully for more complex models. I don’t know of many great “ontologies of types of mathematical models,” so am not sure how to best draw the line.
Here’s a larger list that I think could work.
Fermi estimates
Cost-benefit models
Simple agent-based models
Bayesian models
Physical or social simulations
Risk assessment models
Portfolio optimization models
I think this framework is probably more relevant for models estimating an existing or future parameter, than models optimizing some process, if that helps at all.
Maybe better to call these ‘quantitative modeling techniques’ or ‘applied quantitative modeling’?
The term ‘mathematical modeling’ makes me think more about theoretical axiomatic modeling and work that doesn’t actually use numbers or data.