Recent advances and trends in nonparametric statistics /

The advent of high-speed, affordable computers in the last two decades has given a new boost to the nonparametric way of thinking. Classical nonparametric procedures, such as function smoothing, suddenly lost their abstract flavour as they became practically implementable. In addition, many previous...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Akritas, Michael G., Politis, Dimitris N.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam, the Netherlands ; San Diego, CA : Elsevier, 2003.
Temas:
Nonparametric statistics.
Statistics, Nonparametric
Statistique non param�etrique.
MATHEMATICS > Probability & Statistics > General.
Nonparametric statistics
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Preface
  • 1. Algorithmic Approaches to Statistics
  • An introduction to support vector machines (B. Sch�olkopf)
  • Bagging, subagging and bragging for improving some prediction algorithms (P. B�uhlmann)
  • Data compression by geometric quantization (Nkem-Amin Khumbah, E.J. Wegman)
  • 2. Functional Data Analysis
  • Functional data analysis in evolutionary biology (N.E. Heckman)
  • Functional nonparametric statistics: a double infinite dimensional framework (F. Ferraty, P. Vieu)
  • 3. Nonparametric Model Building
  • Nonparametric models for ANOVA and ANCOVA: a review (M.G. Akritas, E. Brunner)
  • Isotonic additive interaction models (I. Gluhovsky)
  • A nonparametric alternative to analysis of covariance (A. Bathke, E. Brunner)
  • 4. Goodness Of Fit
  • Assessing structural relationships between distributions : a quantile process approach based on Mallows distance (G. Freitag, A. Munk, M. Vogt)
  • Almost sure representations in survival analysis under censoring and truncation: applications to goodness-of-fit tests (R. Cao, W. Gonz�alez Manteiga, C. Iglesias P�erez)
  • 5. High-Dimensional Data And Visualization
  • Data depth: center-outward ordering of multivariate data and nonparametric multivariate statistics (R.Y. Liu)
  • Visual exploration of data through their graph representations (G. Michailidis)
  • 6. Nonparametric Regression
  • Inference for nonsmooth regression curves and surfaces using kernel-based methods (I. Gijbels)
  • Nonparametric smoothing methods for a class of non-standard curve: estimation problems (O. Linton, E. Mammen)
  • Weighted local linear approach to censored nonparametric regression (Z. Cai)
  • 7. Topics In Nonparametrics
  • Adaptive quantile regression (S. van de Geer)
  • Set estimation: an overview and some recent developments (A. Cuevas, A. Rodr�iguez-Casal)
  • Nonparametric methods for heavy tailed vector data: a survey with applications: from finance and hydrology (M.M. Meerschaert, Hans-Peter Scheffler)
  • 8. Nonparametrics in Finance
  • Nonparametric methods in continuous-time finance: a selective review (Z. Cai, Y. Hong)
  • Nonparametric estimation in a stochastic volatility model (J. Franke, W. H�ardle, Jens-Peter Kreiss)
  • Dynamic nonparametric filtering with application to volatility estimation (Ming-Yen Cheng, J. Fan, V. Spokoiny)
  • A normalizing and variance-stabilizing transformation for financial time series (D.N. Politis)
  • 9. Bioinformatics and Biostatistics
  • Biostochastics and nonparametrics: oranges and apples? (P.K. Sen)
  • Some issues concerning length-biased sampling in survival analysis (M. Asgharian, D.B. Wolfson)
  • Covariate centering and scaling in varying-coefficient regression with: application to longitudinal growth studies (C.O. Wu, K.F. Yu, V.W.S. Yuan)
  • Directed peeling and covering of patient rules (M. LeBlanc, J. Moon, J. Crowley)
  • 10. Resampling and Subsampling
  • Statistical analysis of survival models with Bayesian bootstrap (J. Lee, Y. Kim)
  • On optimal variance estimation under different spatial subsampling schemes (D.J. Nordman, S.N. Lahiri)
  • Locally stationary processes and the local block bootstrap (A. Dowla, E. Paparoditis, D.N. Politis)
  • 11. Time Series and Stochastic Processes
  • Spectral analysis and a class of nonstationary processes (M. Rosenblatt)
  • Curve estimation for locally stationary time series models (R. Dahlhaus)
  • Assessing spatial isotropy (M. Sherman, Y. Guan, J.A. Calvin)
  • 12. Wavelet and Multiresolution Methods
  • Automatic landmark registration of 1D curves (J. Bigot)
  • Stochastic multiresolution models for turbulence (B. Whitcher, J.B. Weiss, D.W. Nychka, T.J. Hoar)
  • List of Contributors.

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