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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 |
Efron, Bradley
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| Materiale a stampa | ||
| Lo trovi qui: Univ. del Salento | ||
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The elements of statistical learning : data mining, inference, and prediction / Trevor Hastie, Robert Tibshirani, Jerome Friedman
| The elements of statistical learning : data mining, inference, and prediction / Trevor Hastie, Robert Tibshirani, Jerome Friedman |
| Autore | Hastie, Trevor |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | New York, NY : Springer, c2009 |
| Descrizione fisica | XXII, 745 p. : ill. (some col.) ; 25 cm |
| Disciplina | 006.31 |
| Altri autori (Persone) |
Tibshirani, Robertauthor
Friedman, Jerome H.author |
| Collana | Springer series in statistics, 0172-7397 |
| Soggetto topico |
Machine learning
Statistics - Methodology Data mining Macchine - Apprendimento - Metodi statistici |
| ISBN | 9780387848570 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISALENTO-991003580749707536 |
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Hastie, Trevor
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| New York, NY : Springer, c2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. del Salento | ||
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