Please see the following link for additional information on MINLP including a MATLAB and Python interface to the Mixed Integer Nonlinear Programming solver, APOPT.
...and noise. Lots of noise.
I wrote, "there is probably an N-year periodic component, some shorter-period components, and a linear trend."
I should have written, "there is probably an N-year periodic component, some shorter-period components, a linear trend, and noise."
I have a question about the applicability of HHT/EMD.
Suppose I have a time series dataset in which there is probably an N-year periodic component, some shorter-period components, and a linear trend. Unfortunately, my dataset is considerably shorter than N years. My goal is not to find the periodic components (though that would be mildly interesting), but to more accurately find the linear trend, by removing the influence of the periodic components.
Is HHT/EMD useful for this? Can it help me make a more accurate determination of the linear trend than simple linear regression analysis would do?
Any chance you could add an option to control the errorbar tick width, as this code used to do before Matlab 2014b kicked in: