عنوان

A distribution-free theory of nonparametric regression /

0387954414

9780387954417

dltt

A distribution-free theory of nonparametric regression /

[Book]

László Györfi [and others]

xvi, 647 pages :

illustrations ;

25 cm

Springer series in statistics

Includes bibliographical references (pages 612-638) and indexes

1. Why Is Nonparametric Regression Important? -- 2. How to Construct Nonparametric Regression Estimates? -- 3. Lower Bounds -- 4. Partitioning Estimates -- 5. Kernel Estimates -- 6. k-NN Estimates -- 7. Splitting the Sample -- 8. Cross-Validation -- 9. Uniform Laws of Large Numbers -- 10. Least Squares Estimates I: Consistency -- 11. Least Squares Estimates II: Rate of Convergence -- 12. Least Squares Estimates III: Complexity Regularization -- 13. Consistency of Data-Dependent Partitioning Estimates -- 14. Univariate Least Squares Spline Estimates -- 15. Multivariate Least Squares Spline Estimates -- 16. Neural Networks Estimates -- 17. Radial Basis Function Networks -- 18. Orthogonal Series Estimates -- 19. Advanced Techniques from Empirical Process Theory -- 20. Penalized Least Squares Estimates I: Consistency -- 21. Penalized Least Squares Estimates II: Rate of Convergence -- 22. Dimension Reduction Techniques -- 23. Strong Consistency of Local Averaging Estimates -- 24. Semirecursive Estimates -- 25. Recursive Estimates -- 26. Censored Observations -- 27. Dependent Observations

0

Distribution (Probability theory)

Nonparametric statistics

Regression analysis

Inferencia Estatistica

Inferência não paramétrica

Non-parametrische statistiek

Regressieanalyse

Verdelingen (statistiek)

QA

Györfi, László

20160712072851.0

[Book]

Y