This Handbook aims to present a state of the art exploration of the high-techfield of functional data analysis, by gathering together most of major advances in this area. INDICE: 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 METHODSFOR 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
- ISBN: 978-0-19-956844-4
- Editorial: Oxford University
- Encuadernacion: Cartoné
- Páginas: 512
- Fecha Publicación: 25/11/2010
- Nº Volúmenes: 1
- Idioma: Inglés
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