Vincent Granville has an easy trick for removing serial correlation from a data set:

Here is a simple trick that can solve a lot of problems.

You can not trust a linear or logistic regression performed on data if the error term (residuals) are auto-correlated. There are different approaches to de-correlate the observations, but they usually involve introducing a new matrix to take care of the resulting bias. See for instance here.

Click through for the alternative.

Kevin Feasel

2019-05-30

Data Science

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