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Author:   Frédéric Ferraty (, Toulouse University, France) ,  Yves Romain (, Toulouse University, France)
Publisher:   Oxford University Press
Imprint:   Oxford University Press
Dimensions:   Width: 18.10cm , Height: 3.40cm , Length: 25.50cm
Weight:   1.054kg
ISBN:  

9780199568444

ISBN 10:   0199568448
Pages:   514
Publication Date:   25 November 2010
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   To order  
Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us.

Table of Contents

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

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Author Information

Frédéric 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.

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