Statistical learning with sparsity: the lasso and generalizations
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton ; London ; New York
CRC Press
2020
|
| Ausgabe: | First issued in paperback |
| Schriftenreihe: | Monographs on statistics and applied probability
143 |
| Schlagworte: | |
| Beschreibung: | xv, 351 Seiten Illustrationen, Diagramme |
| ISBN: | 9780367738334 |
Internformat
MARC
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| 100 | 1 | |a Hastie, Trevor |d 1953- |e Verfasser |0 (DE-588)172128242 |4 aut | |
| 245 | 1 | 0 | |a Statistical learning with sparsity |b the lasso and generalizations |c Trevor Hastie (Stanford University, USA), Robert Tibshirani (Stanford University, USA), Martin Wainwright (University of California, Berkeley, USA) |
| 250 | |a First issued in paperback | ||
| 264 | 1 | |a Boca Raton ; London ; New York |b CRC Press |c 2020 | |
| 300 | |a xv, 351 Seiten |b Illustrationen, Diagramme | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 1 | |a Monographs on statistics and applied probability |v 143 | |
| 490 | 0 | |a A Chapman & Hall book | |
| 650 | 4 | |a Mathematical statistics | |
| 650 | 4 | |a Least squares | |
| 650 | 4 | |a Linear models (Statistics) | |
| 650 | 4 | |a Proof theory | |
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| 650 | 0 | 7 | |a Methode der kleinsten Quadrate |0 (DE-588)4038974-1 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Beweistheorie |0 (DE-588)4145177-6 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Schwach besetzte Matrix |0 (DE-588)4056053-3 |2 gnd |9 rswk-swf |
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| 689 | 0 | 5 | |a Numerische Mathematik |0 (DE-588)4042805-9 |D s |
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| 700 | 1 | |a Wainwright, Martin J. |e Verfasser |0 (DE-588)1020083271 |4 aut | |
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Datensatz im Suchindex
| _version_ | 1821319974989332480 |
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| adam_text | |
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| author | Hastie, Trevor 1953- Tibshirani, Robert 1956- Wainwright, Martin J. |
| author_GND | (DE-588)172128242 (DE-588)172417740 (DE-588)1020083271 |
| author_facet | Hastie, Trevor 1953- Tibshirani, Robert 1956- Wainwright, Martin J. |
| author_role | aut aut aut |
| author_sort | Hastie, Trevor 1953- |
| author_variant | t h th r t rt m j w mj mjw |
| building | Verbundindex |
| bvnumber | BV050068704 |
| callnumber-first | Q - Science |
| callnumber-label | QA273 |
| callnumber-raw | QA273 |
| callnumber-search | QA273 |
| callnumber-sort | QA 3273 |
| callnumber-subject | QA - Mathematics |
| classification_rvk | SK 840 SK 850 ST 600 QH 231 |
| ctrlnum | (DE-599)BVBBV050068704 |
| dewey-full | 519.5 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.5 |
| dewey-search | 519.5 |
| dewey-sort | 3519.5 |
| dewey-tens | 510 - Mathematics |
| discipline | Informatik Mathematik Wirtschaftswissenschaften |
| edition | First issued in paperback |
| format | Book |
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| id | DE-604.BV050068704 |
| illustrated | Illustrated |
| indexdate | 2025-01-15T13:01:22Z |
| institution | BVB |
| isbn | 9780367738334 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035406136 |
| open_access_boolean | |
| owner | DE-355 DE-BY-UBR |
| owner_facet | DE-355 DE-BY-UBR |
| physical | xv, 351 Seiten Illustrationen, Diagramme |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | CRC Press |
| record_format | marc |
| series | Monographs on statistics and applied probability |
| series2 | Monographs on statistics and applied probability A Chapman & Hall book |
| spelling | Hastie, Trevor 1953- Verfasser (DE-588)172128242 aut Statistical learning with sparsity the lasso and generalizations Trevor Hastie (Stanford University, USA), Robert Tibshirani (Stanford University, USA), Martin Wainwright (University of California, Berkeley, USA) First issued in paperback Boca Raton ; London ; New York CRC Press 2020 xv, 351 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Monographs on statistics and applied probability 143 A Chapman & Hall book Mathematical statistics Least squares Linear models (Statistics) Proof theory Lineares Modell (DE-588)4134827-8 gnd rswk-swf Numerische Mathematik (DE-588)4042805-9 gnd rswk-swf Methode der kleinsten Quadrate (DE-588)4038974-1 gnd rswk-swf Beweistheorie (DE-588)4145177-6 gnd rswk-swf Schwach besetzte Matrix (DE-588)4056053-3 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Statistik (DE-588)4056995-0 s Methode der kleinsten Quadrate (DE-588)4038974-1 s Lineares Modell (DE-588)4134827-8 s Beweistheorie (DE-588)4145177-6 s Schwach besetzte Matrix (DE-588)4056053-3 s Numerische Mathematik (DE-588)4042805-9 s DE-604 Tibshirani, Robert 1956- Verfasser (DE-588)172417740 aut Wainwright, Martin J. Verfasser (DE-588)1020083271 aut Äquivalent Druck-Ausgabe, Hardcover 978-1-4987-1216-3 Erscheint auch als Online-Ausgabe 978-1-4987-1217-0 Monographs on statistics and applied probability 143 (DE-604)BV002494005 143 |
| spellingShingle | Hastie, Trevor 1953- Tibshirani, Robert 1956- Wainwright, Martin J. Statistical learning with sparsity the lasso and generalizations Monographs on statistics and applied probability Mathematical statistics Least squares Linear models (Statistics) Proof theory Lineares Modell (DE-588)4134827-8 gnd Numerische Mathematik (DE-588)4042805-9 gnd Methode der kleinsten Quadrate (DE-588)4038974-1 gnd Beweistheorie (DE-588)4145177-6 gnd Schwach besetzte Matrix (DE-588)4056053-3 gnd Statistik (DE-588)4056995-0 gnd |
| subject_GND | (DE-588)4134827-8 (DE-588)4042805-9 (DE-588)4038974-1 (DE-588)4145177-6 (DE-588)4056053-3 (DE-588)4056995-0 |
| title | Statistical learning with sparsity the lasso and generalizations |
| title_auth | Statistical learning with sparsity the lasso and generalizations |
| title_exact_search | Statistical learning with sparsity the lasso and generalizations |
| title_full | Statistical learning with sparsity the lasso and generalizations Trevor Hastie (Stanford University, USA), Robert Tibshirani (Stanford University, USA), Martin Wainwright (University of California, Berkeley, USA) |
| title_fullStr | Statistical learning with sparsity the lasso and generalizations Trevor Hastie (Stanford University, USA), Robert Tibshirani (Stanford University, USA), Martin Wainwright (University of California, Berkeley, USA) |
| title_full_unstemmed | Statistical learning with sparsity the lasso and generalizations Trevor Hastie (Stanford University, USA), Robert Tibshirani (Stanford University, USA), Martin Wainwright (University of California, Berkeley, USA) |
| title_short | Statistical learning with sparsity |
| title_sort | statistical learning with sparsity the lasso and generalizations |
| title_sub | the lasso and generalizations |
| topic | Mathematical statistics Least squares Linear models (Statistics) Proof theory Lineares Modell (DE-588)4134827-8 gnd Numerische Mathematik (DE-588)4042805-9 gnd Methode der kleinsten Quadrate (DE-588)4038974-1 gnd Beweistheorie (DE-588)4145177-6 gnd Schwach besetzte Matrix (DE-588)4056053-3 gnd Statistik (DE-588)4056995-0 gnd |
| topic_facet | Mathematical statistics Least squares Linear models (Statistics) Proof theory Lineares Modell Numerische Mathematik Methode der kleinsten Quadrate Beweistheorie Schwach besetzte Matrix Statistik |
| volume_link | (DE-604)BV002494005 |
| work_keys_str_mv | AT hastietrevor statisticallearningwithsparsitythelassoandgeneralizations AT tibshiranirobert statisticallearningwithsparsitythelassoandgeneralizations AT wainwrightmartinj statisticallearningwithsparsitythelassoandgeneralizations |