Computer age statistical inference : algorithms, evidence, and science /
Guardado en:
| Autor principal: | |
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| Otros Autores: | |
| Formato: | Libro |
| Lenguaje: | Inglés |
| Publicado: |
Cambridge :
Cambridge University Press,
c2016
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| Colección: | Instituto of mathematical statistics monographs
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| Materias: | |
| Aporte de: | Registro referencial: Solicitar el recurso aquí |
Tabla de Contenidos:
- Part I: Classic satistical 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 MCMC
- 14 Postwar statistical inference and methodology
- Part III: Twenty-first-century topics
- 15 Large-scale hypothesis testing and FDRs
- 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