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2 votes
1 answer
741 views

Is Kernel-Regression parametric or non-parametric?

As the title says, is kernel regression a parametric or non-parametric method, and how can this be motivated/explained?
Alexander's user avatar
2 votes
0 answers
58 views

Why are parametric models usually robust to mild misspecification?

Statisticians often use parametric families of models, for example normal distributions with unknown mean and variance. However, nothing in real life is perfectly normally distributed (or distributed ...
alligator's user avatar
11 votes
2 answers
3k views

When do we have nuisance parameters?

From Wikipedia: a nuisance parameter is any parameter which is not of immediate interest but which must be accounted for in the analysis of those parameters which are of interest. Suppose originally ...
Tim's user avatar
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