In mathematics we've studied interpolation as predicting the structure of a function from it's given finitely many values from which consequently we use to construct certain function which nearly resembles after the earlier one; obviously with some errors in it. On the other hand, statistically saying, inference is actually a procedure of drawing reasonable conclusion about entire population from merely given sample or data set & eventually error occurs here also. Aren't these two concepts same- not in letter though but in spirit in some way?
2026-03-25 01:13:12.1774401192
What is the basic difference between interpolation & inference?
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