An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
13th Edition
ISBN: 9781461471370
Author: Gareth James
Publisher: SPRINGER NATURE CUSTOMER SERVICE
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Chapter 2, Problem 6E
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Difference between a parametric and non parametric model
| Parametric | Non parametric |
| It reduces estimating f to the problem of estimating parameters. | It avoids assumptions about the shape of f. |
| It uses flexible models. | It is excellent for non linear models. |
| The chosen model will not match the true unknown form. | It has the option to fit a wider range of possible shapes for f... |
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An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
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