Recent advances in functional data analysis and related opics
New technologies allow us to handle increasingly large datasets, while monitoring devices are becoming ever more sophisticated. This high-tech progress produces statistical units sampled over finer and finer grids. As the measurement points become closer, the data can be considered as observations v...
Gespeichert in:
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| Format: | Livre numérique |
| Sprache: | Anglais |
| Veröffentlicht: |
Heidelberg :
Physica-Verlag HD
2011.
Cham : Springer Nature |
| Schriftenreihe: | Contributions to Statistics
|
| Online Zugang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Anmerkung: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Recent Advances in Functional Data Analysis and Related Topics, Texte imprimé, 9783790828337 • Recent Advances in Functional Data Analysis and Related Topics, Texte imprimé, 9783790827378 • Recent advances in functional data analysis and related topics, Frédéric Ferraty, editor, Berlin, Physica-Verlag, 2011, 1 volume (xviii-320 pages), Contributions to statistics, 978-3-7908-2735-4 |
Inhaltsangabe:
- Penalized Spline Approaches for Functional Principal Component Logit
- Functional Prediction for the Residual Demand in Electricity Spot
- Variable Selection in Semi-Functional RegressionModels
- Power Analysis for Functional Change Point Detection
- Robust Nonparametric Estimation for Functional Spatial Regression
- Sequential Stability Procedures for Functional Data Setups
- On the Effect of Noisy Observations of the Regressor in a Functional Linear Model
- Testing the Equality of Covariance Operators
- Modeling and Forecasting Monotone Curves by FDA
- Wavelet-Based Minimum Contrast Estimation of Linear Gaussian Random Fields
- Dimensionality Reduction for Samples of Bivariate Density Level Sets: an Application to Electoral Results
- Structural Tests in Regression on Functional Variable
- A Fast Functional Locally Modeled Conditional Density and Mode for Functional Time-Series
- Generalized Additive Models for Functional Data
- Recent Advances on Functional Additive Regression
- Thresholding in Nonparametric Functional Regression with Scalar Response
- Estimation of a Functional Single Index Model
- Density Estimation for Spatial-Temporal Data
- Functional Quantiles
- Extremality for Functional Data
- Functional Kernel Estimators of Conditional Extreme Quantiles
- A Nonparametric Functional Method for Signature Recognition
- Longitudinal Functional Principal Component Analysis
- Estimation and Testing for Geostatistical Functional Data
- Structured Penalties for Generalized Functional Linear Models (GFLM)
- Consistency of the Mean and the Principal Components of Spatially Distributed Functional Data
- Kernel Density Gradient Estimate
- A Backward Generalization of PCA for Exploration and Feature Extraction of Manifold-Valued Shapes
- Multiple Functional Regression with both Discrete and Continuous Covariates
- Factor Modeling for High Dimensional Time Series
- Depth for Sparse Functional Data
- Sparse Functional Linear Regression with Applications to Personalized Medicine
- Estimation of Functional Coefficients in Partial Differential Equations
- Functional Varying Coefficient Models
- Applications of Functional Data Analysis to Material Science
- On the Properties of Functional Dept
- Second-Order Inference for Functional Data with Application to DNA Minicircles
- Nonparametric Functional Time Series Prediction
- Wavelets Smoothing for Multidimensional Curves
- Nonparametric Conditional Density Estimation for Functional Data. Econometric Applications.