Recent Advances in Functional Data Analysis and Related Topics

• 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.

From the reviews: "Topics are useful, interesting, and related to the hot area of high-dimensional data analysis. I think the volume will draw attention from researchers as well as practitioners involved in the areas of functional data, high-dimensional data and spatial functional data, and related topics. ... The style and structure of the book is unified, and some chapters are more theoretical than others. Again, it is a collection of wide and diverse topics. ... graduate students and researchers in this area will find this book useful." (Technometrics, Vol. 54 (1), February, 2012)