Computer age statistical inference: algorithms, evidence, and data science
The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and influence. 'Data science' and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern scien...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Cambridge ; New York ; Port Melbourne ; New Delhi ; Singapore
Cambridge University Press
2021
|
| Edition: | Student edition |
| Series: | Institute of Mathematical Statistics monographs
6 |
| Subjects: | |
| Summary: | The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and influence. 'Data science' and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? How does it all fit together? Now in paperback and fortified with exercises, this book delivers a concentrated course in modern statistical thinking. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov Chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. Each chapter ends with class-tested exercises, and the book concludes with speculation on the future direction of statistics and data science. |
| Item Description: | Auf dem Cover: "with exercises" |
| Physical Description: | xix, 491 Seiten Illustrationen, Diagramme (farbig) |
| ISBN: | 9781108823418 1108823416 |
Staff View
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| id | DE-604.BV047350276 |
| illustrated | Illustrated |
| index_date | 2024-07-03T17:37:38Z |
| indexdate | 2024-07-10T09:09:42Z |
| institution | BVB |
| isbn | 9781108823418 1108823416 |
| language | English |
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| publishDate | 2021 |
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| publisher | Cambridge University Press |
| record_format | marc |
| series | Institute of Mathematical Statistics monographs |
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| spelling | Efron, Bradley 1938- Verfasser (DE-588)142290718 aut Computer age statistical inference algorithms, evidence, and data science Bradley Efron (Stanford University, California), Trevor Hastie (Stanford University, California) Student edition Cambridge ; New York ; Port Melbourne ; New Delhi ; Singapore Cambridge University Press 2021 xix, 491 Seiten Illustrationen, Diagramme (farbig) txt rdacontent n rdamedia nc rdacarrier Institute of Mathematical Statistics monographs 6 Auf dem Cover: "with exercises" The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and influence. 'Data science' and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? How does it all fit together? Now in paperback and fortified with exercises, this book delivers a concentrated course in modern statistical thinking. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov Chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. Each chapter ends with class-tested exercises, and the book concludes with speculation on the future direction of statistics and data science. Geschichte gnd rswk-swf Big Data (DE-588)4802620-7 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Algorithmus (DE-588)4001183-5 gnd rswk-swf Statistische Schlussweise (DE-588)4182963-3 gnd rswk-swf Mathematical statistics / Data processing Algorithmus (DE-588)4001183-5 s Statistik (DE-588)4056995-0 s Statistische Schlussweise (DE-588)4182963-3 s Big Data (DE-588)4802620-7 s Geschichte z DE-604 Hastie, Trevor 1953- Verfasser (DE-588)172128242 aut Erscheint auch als Online-Ausgabe 10.1017/9781108914062 Institute of Mathematical Statistics monographs 6 (DE-604)BV037337077 6 |
| spellingShingle | Efron, Bradley 1938- Hastie, Trevor 1953- Computer age statistical inference algorithms, evidence, and data science Institute of Mathematical Statistics monographs Big Data (DE-588)4802620-7 gnd Statistik (DE-588)4056995-0 gnd Algorithmus (DE-588)4001183-5 gnd Statistische Schlussweise (DE-588)4182963-3 gnd |
| subject_GND | (DE-588)4802620-7 (DE-588)4056995-0 (DE-588)4001183-5 (DE-588)4182963-3 |
| title | Computer age statistical inference algorithms, evidence, and data science |
| title_auth | Computer age statistical inference algorithms, evidence, and data science |
| title_exact_search | Computer age statistical inference algorithms, evidence, and data science |
| title_exact_search_txtP | Computer age statistical inference algorithms, evidence, and data science |
| title_full | Computer age statistical inference algorithms, evidence, and data science Bradley Efron (Stanford University, California), Trevor Hastie (Stanford University, California) |
| title_fullStr | Computer age statistical inference algorithms, evidence, and data science Bradley Efron (Stanford University, California), Trevor Hastie (Stanford University, California) |
| title_full_unstemmed | Computer age statistical inference algorithms, evidence, and data science Bradley Efron (Stanford University, California), Trevor Hastie (Stanford University, California) |
| title_short | Computer age statistical inference |
| title_sort | computer age statistical inference algorithms evidence and data science |
| title_sub | algorithms, evidence, and data science |
| topic | Big Data (DE-588)4802620-7 gnd Statistik (DE-588)4056995-0 gnd Algorithmus (DE-588)4001183-5 gnd Statistische Schlussweise (DE-588)4182963-3 gnd |
| topic_facet | Big Data Statistik Algorithmus Statistische Schlussweise |
| volume_link | (DE-604)BV037337077 |
| work_keys_str_mv | AT efronbradley computeragestatisticalinferencealgorithmsevidenceanddatascience AT hastietrevor computeragestatisticalinferencealgorithmsevidenceanddatascience |