Link to the ebook : https://link-springer-com.ezproxy.univ-catholille.fr/book/10...

eISBN : 978-0-387-22442-8

Contents :
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

Language : English

Series : SERIES IN STATISTICS

Location : Nice Library

Material : Electronic

Statement : Présent

Owner : Bibliothèque