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Record Nr. |
UNISALENTO991003600339707536 |
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Autore |
Efron, Bradley |
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Titolo |
Computer age statistical inference : algorithms, evidence, and data science / Bradley Efron, Trevor Hastie |
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ISBN |
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Descrizione fisica |
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xix, 475 p. : ill. (some color) ; 24 cm |
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Collana |
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Institute of Mathematical Statistics monographs ; 5 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Mathematical statistics - Data processing |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and indexes |
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Nota di contenuto |
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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 |
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