Recent Advances in Functional Data Analysis and Related Topics

Table of Contents

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   Book Overview
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   Chapter 1 Penalized Spline Approaches for Functional Principal Component Logit Regression
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   Chapter 2 Functional Prediction for the Residual Demand in Electricity Spot Markets
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   Chapter 3 Variable Selection in Semi-Functional Regression Models
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   Chapter 4 Power Analysis for Functional Change Point Detection
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   Chapter 5 Robust Nonparametric Estimation for Functional Spatial Regression
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   Chapter 6 Sequential Stability Procedures for Functional Data Setups
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   Chapter 7 On the Effect of Noisy Observations of the Regressor in a Functional Linear Model
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   Chapter 8 Testing the Equality of Covariance Operators
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    Chapter 9 Modeling and Forecasting Monotone Curves by FDA
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    Chapter 10 Wavelet-Based Minimum Contrast Estimation of Linear Gaussian Random Fields
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    Chapter 11 Dimensionality Reduction for Samples of Bivariate Density Level Sets: an Application to Electoral Results
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    Chapter 12 Structural Tests in Regression on Functional Variable
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    Chapter 13 A Fast Functional Locally Modeled Conditional Density and Mode for Functional Time-Series
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    Chapter 14 Generalized Additive Models for Functional Data
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    Chapter 15 Recent Advances on Functional Additive Regression
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    Chapter 16 Thresholding in Nonparametric Functional Regression with Scalar Response
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    Chapter 17 Estimation of a Functional Single Index Model
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    Chapter 18 Density Estimation for Spatial-Temporal Data
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    Chapter 19 Functional Quantiles
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    Chapter 20 Extremality for Functional Data
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    Chapter 21 Functional Kernel Estimators of Conditional Extreme Quantiles
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    Chapter 22 A Nonparametric Functional Method for Signature Recognition
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    Chapter 23 Longitudinal Functional Principal Component Analysis
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    Chapter 24 Estimation and Testing for Geostatistical Functional Data
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    Chapter 25 Structured Penalties for Generalized Functional Linear Models (GFLM)
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    Chapter 26 Consistency of the Mean and the Principal Components of Spatially Distributed Functional Data
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    Chapter 27 Kernel Density Gradient Estimate
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    Chapter 28 A Backward Generalization of PCA for Exploration and Feature Extraction of Manifold-Valued Shapes
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    Chapter 29 Multiple Functional Regression with both Discrete and Continuous Covariates
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    Chapter 30 Combining Factor Models and Variable Selection in High-Dimensional Regression
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    Chapter 31 Factor Modeling for High Dimensional Time Series
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    Chapter 32 Depth for Sparse Functional Data
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    Chapter 33 Sparse Functional Linear Regression with Applications to Personalized Medicine
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    Chapter 34 Estimation of Functional Coefficients in Partial Differential Equations
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    Chapter 35 Functional Varying Coefficient Models
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    Chapter 36 Applications of Funtional Data Analysis to Material Science
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    Chapter 37 On the Properties of Functional Depth
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    Chapter 38 Second-Order Inference for Functional Data with Application to DNA Minicircles
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    Chapter 39 Nonparametric Functional Time Series Prediction
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    Chapter 40 Wavelets Smoothing for Multidimensional Curves
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    Chapter 41 Nonparametric Conditional Density Estimation for Functional Data. Econometric Applications
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    Chapter 42 Spatial Functional Data Analysis
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    Chapter 43 Clustering Spatially Correlated Functional Data
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    Chapter 44 Spatial Clustering of Functional Data
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    Chapter 45 Population-Wide Model-Free Quantification of Blood-Brain-Barrier Dynamics in Multiple Sclerosis
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    Chapter 46 Flexible Modelling of Functional Data using Continuous Wavelet Dictionaries
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    Chapter 47 Periodically Correlated Autoregressive Hilbertian Processes of Order p
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    Chapter 48 Bases Giving Distances. A New Semimetric and its Use for Nonparametric Functional Data Analysis