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The Resource Recent advances in functional data analysis and related topics, Frédéric Ferraty, editor

Recent advances in functional data analysis and related topics, Frédéric Ferraty, editor

Contributor
Summary
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 varying over a continuum. This intrinsic continuous data (called functional data) can be found in various fields of science, including biomechanics, chemometrics, econometrics, environmetrics, geophysics, medicine, etc. The failure of standard multivariate statistics to analyze such functional data h
Language
eng
Work
Publication
Extent
1 online resource (xviii, 320 pages).
Contents
  • Recent Advancesand Related TopicsFrédéric FerratyEditorin Functional Data Analysis; Preface; Acknowledgements; Contents; Chapter 1: Penalized Spline Approaches for Functional Principal Component Logit Regression; Chapter 2: Functional Prediction for the Residual Demand in Electricity Spot Markets; Chapter 3: Variable Selection in Semi-Functional Regression Models; Chapter 4: Power Analysis for Functional Change Point Detection; Chapter 5: Robust Nonparametric Estimation for Functional Spatial Regression; Chapter 6: Sequential Stability Procedures for Functional Data Setups
  • Chapter 7: On the Effect of Noisy Observations of the Regressor in a Functional Linear ModelChapter 8: Testing the Equality of Covariance Operators; Chapter 9: Modeling and Forecasting Monotone Curves by FDA; Chapter 10: Wavelet-Based Minimum Contrast Estimation of Linear Gaussian Random Fields; Chapter 11: Dimensionality Reduction for Samples of Bivariate Density Level Sets: an Application to Electoral Results; Chapter 12: Structural Tests in Regression on Functional Variable; Chapter 13: A Fast Functional Locally Modeled Conditional Density and Mode for Functional Time-Series
  • Chapter 14: Generalized Additive Models for Functional DataChapter 15: Recent Advances on Functional Additive Regression; Chapter 16: Thresholding in Nonparametric Functional Regression with Scalar Response; Chapter 17: Estimation of a Functional Single Index Model; Chapter 18: Density Estimation for Spatial-Temporal Data; Chapter 19: Functional Quantiles; Chapter 20: Extremality for Functional Data; Chapter 21: Functional Kernel Estimators of Conditional Extreme Quantiles; Chapter 22: A Nonparametric Functional Method for Signature Recognition
  • Chapter 23: Longitudinal Functional Principal Component AnalysisChapter 24: Estimation and Testing for Geostatistical Functional Data; Chpater 25: Structured Penalties for Generalized Functional Linear Models (GFLM); Chapter 26: Consistency of the Mean and the Principal Components of Spatially Distributed Functional Data; Chapter 27: Kernel Density Gradient Estimate; Chapter 28: A Backward Generalization of PCA for Exploration and Feature Extraction of Manifold-Valued Shapes; Chapter 29: Multiple Functional Regression with both Discrete and Continuous Covariates
  • Chapter 30: Combining Factor Models and Variable Selection in High-Dimensional RegressionChapter 31: Factor Modeling for High Dimensional Time Series; Chapter 32: Depth for Sparse Functional Data; Chapter 33: Sparse Functional Linear Regression with Applications to Personalized Medicine; Chapter 34: Estimation of Functional Coefficients in Partial Differential Equations; Chapter 35: Functional Varying Coefficient Models; Chapter 36: Applications of Funtional Data Analysis to Material Science; Chapter 37: On the Properties of Functional Depth
Isbn
9783790827354
Instance
Label
Recent advances in functional data analysis and related topics
Title
Recent advances in functional data analysis and related topics
Statement of responsibility
Frédéric Ferraty, editor
Contributor
Subject
Language
eng
Summary
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 varying over a continuum. This intrinsic continuous data (called functional data) can be found in various fields of science, including biomechanics, chemometrics, econometrics, environmetrics, geophysics, medicine, etc. The failure of standard multivariate statistics to analyze such functional data h
Member of
Cataloging source
GW5XE
Dewey number
519.5
Index
no index present
LC call number
QA276
LC item number
.R43 2011
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
Ferraty, Frédéric
Series statement
Contributions to statistics
http://library.link/vocab/subjectName
  • Mathematical statistics
  • Mathematical statistics
Label
Recent advances in functional data analysis and related topics, Frédéric Ferraty, editor
Instantiates
Publication
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Recent Advancesand Related TopicsFrédéric FerratyEditorin Functional Data Analysis; Preface; Acknowledgements; Contents; Chapter 1: Penalized Spline Approaches for Functional Principal Component Logit Regression; Chapter 2: Functional Prediction for the Residual Demand in Electricity Spot Markets; Chapter 3: Variable Selection in Semi-Functional Regression Models; Chapter 4: Power Analysis for Functional Change Point Detection; Chapter 5: Robust Nonparametric Estimation for Functional Spatial Regression; Chapter 6: Sequential Stability Procedures for Functional Data Setups
  • Chapter 7: On the Effect of Noisy Observations of the Regressor in a Functional Linear ModelChapter 8: Testing the Equality of Covariance Operators; Chapter 9: Modeling and Forecasting Monotone Curves by FDA; Chapter 10: Wavelet-Based Minimum Contrast Estimation of Linear Gaussian Random Fields; Chapter 11: Dimensionality Reduction for Samples of Bivariate Density Level Sets: an Application to Electoral Results; Chapter 12: Structural Tests in Regression on Functional Variable; Chapter 13: A Fast Functional Locally Modeled Conditional Density and Mode for Functional Time-Series
  • Chapter 14: Generalized Additive Models for Functional DataChapter 15: Recent Advances on Functional Additive Regression; Chapter 16: Thresholding in Nonparametric Functional Regression with Scalar Response; Chapter 17: Estimation of a Functional Single Index Model; Chapter 18: Density Estimation for Spatial-Temporal Data; Chapter 19: Functional Quantiles; Chapter 20: Extremality for Functional Data; Chapter 21: Functional Kernel Estimators of Conditional Extreme Quantiles; Chapter 22: A Nonparametric Functional Method for Signature Recognition
  • Chapter 23: Longitudinal Functional Principal Component AnalysisChapter 24: Estimation and Testing for Geostatistical Functional Data; Chpater 25: Structured Penalties for Generalized Functional Linear Models (GFLM); Chapter 26: Consistency of the Mean and the Principal Components of Spatially Distributed Functional Data; Chapter 27: Kernel Density Gradient Estimate; Chapter 28: A Backward Generalization of PCA for Exploration and Feature Extraction of Manifold-Valued Shapes; Chapter 29: Multiple Functional Regression with both Discrete and Continuous Covariates
  • Chapter 30: Combining Factor Models and Variable Selection in High-Dimensional RegressionChapter 31: Factor Modeling for High Dimensional Time Series; Chapter 32: Depth for Sparse Functional Data; Chapter 33: Sparse Functional Linear Regression with Applications to Personalized Medicine; Chapter 34: Estimation of Functional Coefficients in Partial Differential Equations; Chapter 35: Functional Varying Coefficient Models; Chapter 36: Applications of Funtional Data Analysis to Material Science; Chapter 37: On the Properties of Functional Depth
Control code
745005660
Dimensions
unknown
Extent
1 online resource (xviii, 320 pages).
Form of item
online
Isbn
9783790827354
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
http://library.link/vocab/ext/overdrive/overdriveId
978-3-7908-2735-4
Specific material designation
remote
System control number
(OCoLC)745005660
Label
Recent advances in functional data analysis and related topics, Frédéric Ferraty, editor
Publication
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Recent Advancesand Related TopicsFrédéric FerratyEditorin Functional Data Analysis; Preface; Acknowledgements; Contents; Chapter 1: Penalized Spline Approaches for Functional Principal Component Logit Regression; Chapter 2: Functional Prediction for the Residual Demand in Electricity Spot Markets; Chapter 3: Variable Selection in Semi-Functional Regression Models; Chapter 4: Power Analysis for Functional Change Point Detection; Chapter 5: Robust Nonparametric Estimation for Functional Spatial Regression; Chapter 6: Sequential Stability Procedures for Functional Data Setups
  • Chapter 7: On the Effect of Noisy Observations of the Regressor in a Functional Linear ModelChapter 8: Testing the Equality of Covariance Operators; Chapter 9: Modeling and Forecasting Monotone Curves by FDA; Chapter 10: Wavelet-Based Minimum Contrast Estimation of Linear Gaussian Random Fields; Chapter 11: Dimensionality Reduction for Samples of Bivariate Density Level Sets: an Application to Electoral Results; Chapter 12: Structural Tests in Regression on Functional Variable; Chapter 13: A Fast Functional Locally Modeled Conditional Density and Mode for Functional Time-Series
  • Chapter 14: Generalized Additive Models for Functional DataChapter 15: Recent Advances on Functional Additive Regression; Chapter 16: Thresholding in Nonparametric Functional Regression with Scalar Response; Chapter 17: Estimation of a Functional Single Index Model; Chapter 18: Density Estimation for Spatial-Temporal Data; Chapter 19: Functional Quantiles; Chapter 20: Extremality for Functional Data; Chapter 21: Functional Kernel Estimators of Conditional Extreme Quantiles; Chapter 22: A Nonparametric Functional Method for Signature Recognition
  • Chapter 23: Longitudinal Functional Principal Component AnalysisChapter 24: Estimation and Testing for Geostatistical Functional Data; Chpater 25: Structured Penalties for Generalized Functional Linear Models (GFLM); Chapter 26: Consistency of the Mean and the Principal Components of Spatially Distributed Functional Data; Chapter 27: Kernel Density Gradient Estimate; Chapter 28: A Backward Generalization of PCA for Exploration and Feature Extraction of Manifold-Valued Shapes; Chapter 29: Multiple Functional Regression with both Discrete and Continuous Covariates
  • Chapter 30: Combining Factor Models and Variable Selection in High-Dimensional RegressionChapter 31: Factor Modeling for High Dimensional Time Series; Chapter 32: Depth for Sparse Functional Data; Chapter 33: Sparse Functional Linear Regression with Applications to Personalized Medicine; Chapter 34: Estimation of Functional Coefficients in Partial Differential Equations; Chapter 35: Functional Varying Coefficient Models; Chapter 36: Applications of Funtional Data Analysis to Material Science; Chapter 37: On the Properties of Functional Depth
Control code
745005660
Dimensions
unknown
Extent
1 online resource (xviii, 320 pages).
Form of item
online
Isbn
9783790827354
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
http://library.link/vocab/ext/overdrive/overdriveId
978-3-7908-2735-4
Specific material designation
remote
System control number
(OCoLC)745005660

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