Survey the landscape

Gehhh.. where is the draft autosave? Now I have to rewrite this. Nvm, I shall jump to the point.

  1. Bayes factor is a way to do model selection. It can help compare if a model is more suitable to describe a data set than another.
  2. Regression analysis is a process of estimating relationships between variables. Why the name? Here, have an interesting read. Apparently our good man was referring to a tendency for regression towards the mean in a measurement after a measured extreme, not the technique of analysis.
  3. Parameter identification problem: says that it is in principle not possible to estimate parameters in regression well.

And here I kinda need to estimate the parameters of an assumed Gaussian distribution. So I guess I will search a little further.

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