? I’m not sure what you’re asking for. The basic points are a) experts are bad integrating information, and b) experts are good at selecting important variables of roughly equal importance, c) these variables are often highly correlated.
a) explains why experts are bad (as in worse than proper linear models), b) and c) explain why improper linear models might perform not too far off proper linear models (and hence be better than experts).
? I’m not sure what you’re asking for. The basic points are a) experts are bad integrating information, and b) experts are good at selecting important variables of roughly equal importance, c) these variables are often highly correlated.
a) explains why experts are bad (as in worse than proper linear models), b) and c) explain why improper linear models might perform not too far off proper linear models (and hence be better than experts).