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.