Machine generated contents note:
List of illustrations
List of datasets
PART I: REGRESSION MODELLING FOR FDA
1. Unifying presentation for functional regression modelling, F. Ferraty and P. Vieu
2. Functional linear regression, H. Cardot and P. Sarda
3. Linear processes for functional data, A. Mas and B. Pumo
4. Kernel regression estimation for functional data, F. Ferraty and P. Vieu
5. Nonparametric methods for alpha-mixing functional data, L. Delsol
6. Functional coefficient models for economics and financial data, Z. Cai
PART II: BENCHMARK METHODS FOR FDA
7. Resampling methods for functional data, T. McMurry and D. Politis
8. Functional principal component analysis, P. Hall
9. Curve registration, J. Ramsay
10. Classification methods for functional data, A. Baillo, A. Cuevas, and R. Fraiman
11. Sparse functional data analysis, G. James
PART III: TOWARDS STOCHASTIC BACKGROUND IN INFINITE-DIMENSIONAL SPACES
12. Vector integration in Banach spaces, N. Dinculeanu
13. Operator geometry in Statistics, K. Gustafson
14. On Bernstein type and maximal inequalities for dependent Banach-valued random vectors and applications, N. Rhomari
15. On spectral and random measures associated to a stationary process, A. Boudou and Y. Romain
16. An invitation to operator-based Statistics, Y. Romain
Index.
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The Oxford handbook of functional data analysis. ISBN 9780199568444. Published by Oxford University Press in 2011. Publication and catalogue information, links to buy online and reader comments.
