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Statistical Learning from a Regression Perspective (Hardcover, 2008 ed.)
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Statistical Learning from a Regression Perspective (Hardcover, 2008 ed.)
Series: Springer Series in Statistics
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Statistical Learning from a Regression Perspective considers
statistical learning applications when interest centers on the
conditional distribution of the response variable, given a set of
predictors, and when it is important to characterize how the
predictors are related to the response. As a first approximation,
this is can be seen as an extension of nonparametric regression.
Among the statistical learning procedures examined are bagging,
random forests, boosting, and support vector machines. Response
variables may be quantitative or categorical. Real applications are
emphasized, especially those with practical implications. One
important theme is the need to explicitly take into account
asymmetric costs in the fitting process. For example, in some
situations false positives may be far less costly than false
negatives. Another important theme is to not automatically cede
modeling decisions to a fitting algorithm. In many settings,
subject-matter knowledge should trump formal fitting criteria. Yet
another important theme is to appreciate the limitation of one's
data and not apply statistical learning procedures that require
more than the data can provide. The material is written for
graduate students in the social and life sciences and for
researchers who want to apply statistical learning procedures to
scientific and policy problems. Intuitive explanations and visual
representations are prominent. All of the analyses included are
done in R.
General
Imprint: |
Springer-Verlag New York
|
Country of origin: |
United States |
Series: |
Springer Series in Statistics |
Release date: |
July 2008 |
First published: |
2008 |
Authors: |
Richard A. Berk
|
Dimensions: |
235 x 155 x 24mm (L x W x T) |
Format: |
Hardcover
|
Pages: |
360 |
Edition: |
2008 ed. |
ISBN-13: |
978-0-387-77500-5 |
Categories: |
Books >
Science & Mathematics >
Mathematics >
Probability & statistics
|
LSN: |
0-387-77500-5 |
Barcode: |
9780387775005 |
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