ISBN-10:
0199568448
ISBN-13:
9780199568444
Pub. Date:
01/25/2011
Publisher:
Oxford University Press
The Oxford Handbook of Functional Data Analysis

The Oxford Handbook of Functional Data Analysis

by Frederic Ferraty, Yves Romain

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Product Details

ISBN-13: 9780199568444
Publisher: Oxford University Press
Publication date: 01/25/2011
Pages: 448
Product dimensions: 6.60(w) x 9.70(h) x 1.50(d)

About the Author

Frederic Ferraty is a researcher in Statistics at Toulouse University (France). He has been working on all facets of Statistics, ranging from fundamental theory basis, methodology developments to practical implementation. In addition, most of major topics of Statistics as Classification, Exploratory Methods, Regression, Time Series have been investigated. In the last decade, he mainly oriented his research towards high dimensional statistical problems involving systematically functional data. His numerous statistical contributions have been published in prestigious international statistical journals. He is also a prominent and very active member of the international statistical community through co-organizations of several international scientific events and numerous editorial works for publishers and statistical journals of high scientific level.

Yves Romain is an academic researcher at Institute of Mathematics of Toulouse (France). He is Doctor in Applied Mathematics and HDR in Statistics. His main research domains are multivariate analyses in large dimension and related fields such as operator-based statistics and backgrounds for statistics in infinite-dimensional spaces.

Table of Contents

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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