Harris chains are a popular method of data analysis in statistics. They are named after the statistician Ronald Harris, who first described them in the 1960s.
A Harris chain is a sequence of linked observations that can be used to estimate parameters in a regression model.
The first observation in the chain is called the “tip” observation, and each subsequent observation is based on the results of the previous one.
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