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Computer age statistical inference : algorithms, evidence, and data science / Bradley Efron, Trevor Hastie
| Computer age statistical inference : algorithms, evidence, and data science / Bradley Efron, Trevor Hastie |
| Autore | Efron, Bradley |
| Pubbl/distr/stampa | Cambridge, : Cambridge university, 2016 |
| Descrizione fisica | xix, 475 p. : ill. ; 24 cm |
| Altri autori (Persone) | Hastie, Trevor J. |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 65Cxx - Probabilistic methods, stochastic differential equations [MSC 2020] |
| Soggetto non controllato |
Computer Science
General Statistics and Probability Pattern Recognition and Machine Learning Statistical Theory and Methods Statistics and Probability |
| ISBN | 978-11-07-14989-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0250470 |
Efron, Bradley
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| Cambridge, : Cambridge university, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Computer age statistical inference : algorithms, evidence, and data science / Bradley Efron, Trevor Hastie
| Computer age statistical inference : algorithms, evidence, and data science / Bradley Efron, Trevor Hastie |
| Autore | Efron, Bradley |
| Descrizione fisica | xix, 475 p. : ill. (some color) ; 24 cm |
| Disciplina | 519.5 |
| Altri autori (Persone) | Hastie, Trevorauthor |
| Collana | Institute of Mathematical Statistics monographs ; 5 |
| Soggetto topico | Mathematical statistics - Data processing |
| ISBN | 9781107149892 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I. Classic Statistical Inference: -- 1. Algorithms and inference -- 2. Frequentist inference -- 3. Bayesian inference -- 4. Fisherian inference and maximum likelihood estimation -- 5. Parametric models and exponential families -- Part II. Early Computer-Age Methods: -- 6. Empirical Bayes -- 7. James–Stein estimation and ridge regression -- 8. Generalized linear models and regression trees -- 9. Survival analysis and the EM algorithm -- 10. The jackknife and the bootstrap -- 11. Bootstrap confidence intervals -- 12. Cross-validation and Cp estimates of prediction error --13. Objective Bayes inference and Markov chain Monte Carlo --14. Statistical inference and methodology in the postwar era -- Part III. Twenty-First Century Topics: -- 15. Large-scale hypothesis testing and false discovery rates -- 16. Sparse modeling and the lasso -- 17. Random forests and boosting -- 18. Neural networks and deep learning -- 19. Support-vector machines and kernel methods -- 20. Inference after model selection -- 21. Empirical Bayes estimation strategies -- Epilogue |
| Record Nr. | UNISALENTO-991003600339707536 |
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Efron, Bradley
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| Materiale a stampa | ||
| Lo trovi qui: Univ. del Salento | ||
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