Interesting, but I don't understand why you would use anything other than optimal control algorithms for this kind of problem (and determine the feasible directions/positions with neural nets).
Weighted least squares should do the trick, i.e. scale your data with the inverse covariance matrix
What's your point? That the article is overdramatizing the issue?
Did you do specific exercises, or just read and re-read Sarno's books to make the concept stick?
Interesting, but I don't understand why you would use anything other than optimal control algorithms for this kind of problem (and determine the feasible directions/positions with neural nets).
Weighted least squares should do the trick, i.e. scale your data with the inverse covariance matrix
What's your point? That the article is overdramatizing the issue?
Did you do specific exercises, or just read and re-read Sarno's books to make the concept stick?