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Informationen zum Autor 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. Klappentext This Handbook aims to present a state of the art exploration of the high-tech field of functional data analysis, by gathering together most of major advances in this area. Zusammenfassung This Handbook aims to present a state of the art exploration of the high-tech field of functional data analysis, by gathering together most of major advances in this area. Inhaltsverzeichnis 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 ...
