Density estimation has evolved enormously since the days of bar
plots and histograms, but researchers and users are still
struggling with the problem of the selection of the bin widths.
This book is the first to explore a new paradigm for the data-based
or automatic selection of the free parameters of density estimates
in general so that the expected error is within a given constant
multiple of the best possible error. The paradigm can be used in
nearly all density estimates and for most model selection problems,
both parametric and nonparametric.
General
| Imprint: |
Springer-Verlag New York
|
| Country of origin: |
United States |
| Series: |
Springer Series in Statistics |
| Release date: |
September 2012 |
| First published: |
2001 |
| Authors: |
Luc Devroye
• Gabor Lugosi
|
| Dimensions: |
235 x 155 x 12mm (L x W x T) |
| Format: |
Paperback
|
| Pages: |
209 |
| Edition: |
Softcover reprint of the original 1st ed. 2001 |
| ISBN-13: |
978-1-4612-6527-6 |
| Categories: |
Books >
Science & Mathematics >
Mathematics >
Probability & statistics
Promotions
|
| LSN: |
1-4612-6527-4 |
| Barcode: |
9781461265276 |
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