Some Thoughts on Correlated Noise
Devinderjit Singh Sivia · AIP conference proceedings · 2004
Data are usually analysed assuming that they are subject to independent Gaussian noise, and this is certainly implicit in the ubiquitous least squares procedure. We propose a simple extension, derived from the principle of maximum entropy, which may be appropriate when the errors are thought to be correlated locally but their exact nature is not known.