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
Resource Information
The item Recent advances in functional data analysis and related topics, Frédéric Ferraty, editor represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 1 library branch.
Resource Information
The item Recent advances in functional data analysis and related topics, Frédéric Ferraty, editor represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 1 library branch.
 Summary
 New technologies allow us to handle increasingly large datasets, while monitoring devices are becoming ever more sophisticated. This hightech 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
 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 SemiFunctional 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: WaveletBased 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 TimeSeries
 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 SpatialTemporal 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 ManifoldValued Shapes; Chapter 29: Multiple Functional Regression with both Discrete and Continuous Covariates
 Chapter 30: Combining Factor Models and Variable Selection in HighDimensional 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
 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
 Language
 eng
 Summary
 New technologies allow us to handle increasingly large datasets, while monitoring devices are becoming ever more sophisticated. This hightech 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
 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
 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 SemiFunctional 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: WaveletBased 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 TimeSeries
 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 SpatialTemporal 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 ManifoldValued Shapes; Chapter 29: Multiple Functional Regression with both Discrete and Continuous Covariates
 Chapter 30: Combining Factor Models and Variable Selection in HighDimensional 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
 9783790827354
 Specific material designation
 remote
 System control number
 (OCoLC)745005660
 Label
 Recent advances in functional data analysis and related topics, Frédéric Ferraty, editor
 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 SemiFunctional 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: WaveletBased 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 TimeSeries
 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 SpatialTemporal 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 ManifoldValued Shapes; Chapter 29: Multiple Functional Regression with both Discrete and Continuous Covariates
 Chapter 30: Combining Factor Models and Variable Selection in HighDimensional 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
 9783790827354
 Specific material designation
 remote
 System control number
 (OCoLC)745005660
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