Nonparametric Functional Data Analysis: Theory and Practice (Springer Series in Statistics)
Nonparametric Functional Data Analysis: Theory and Practice (Springer Series in Statistics)
Estimation and inference in functional mixed-effects models
Computational Statistics & Data Analysis
Smoothing splines estimators in functional linear regression with errors-in-variables
Computational Statistics & Data Analysis
Diagnostics for functional regression via residual processes
Computational Statistics & Data Analysis
On the using of modal curves for radar waveforms classification
Computational Statistics & Data Analysis
Functional PLS logit regression model
Computational Statistics & Data Analysis
Factor-based comparison of groups of curves
Computational Statistics & Data Analysis
Changes in atmospheric radiation from the statistical point of view
Computational Statistics & Data Analysis
Penalized solutions to functional regression problems
Computational Statistics & Data Analysis
Robust forecasting of mortality and fertility rates: A functional data approach
Computational Statistics & Data Analysis
Depth-based inference for functional data
Computational Statistics & Data Analysis
Principal component analysis of measures, with special emphasis on grain-size curves
Computational Statistics & Data Analysis
Classifying densities using functional regression trees: Applications in oceanology
Computational Statistics & Data Analysis
Performing hypothesis tests on the shape of functional data
Computational Statistics & Data Analysis
Estimating the functional form of a continuous covariate's effect on survival time
Computational Statistics & Data Analysis
Dimension reduction in functional regression with applications
Computational Statistics & Data Analysis
Editorial: Some Recent Trends in Applied Stochastic Modeling and Multidimensional Data Analysis
Computational Statistics & Data Analysis
Forecasting binary longitudinal data by a functional PC-ARIMA model
Computational Statistics & Data Analysis
Computational Statistics & Data Analysis
Variational Bayesian functional PCA
Computational Statistics & Data Analysis
Additive prediction and boosting for functional data
Computational Statistics & Data Analysis
Functional modelling of volatility in the Swedish limit order book
Computational Statistics & Data Analysis
Connection Science - Music, Brain, Cognition
Distance-based local linear regression for functional predictors
Computational Statistics & Data Analysis
Dimensionality reduction when data are density functions
Computational Statistics & Data Analysis
On local times, density estimation and supervised classification from functional data
Journal of Multivariate Analysis
A half-region depth for functional data
Computational Statistics & Data Analysis
Maximum likelihood ratio test for the stability of sequence of Gaussian random processes
Computational Statistics & Data Analysis
Principal components for multivariate functional data
Computational Statistics & Data Analysis
Functional data analysis in shape analysis
Computational Statistics & Data Analysis
A mixed effects least squares support vector machine model for classification of longitudinal data
Computational Statistics & Data Analysis
Nonparametric criteria for supervised classification of fuzzy data
International Journal of Approximate Reasoning
Fuzzy data treated as functional data: A one-way ANOVA test approach
Computational Statistics & Data Analysis
Journal of Multivariate Analysis
Recursive estimation of nonparametric regression with functional covariate
Computational Statistics & Data Analysis
No effect tests in regression on functional variable and some applications to spectrometric studies
Computational Statistics
Computational Statistics & Data Analysis
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Functional data analysis is an active field of research in Statistics. This Special Issue on Statistics for Functional Data contains a selected set of contributions which covers a scope, as wide as possible, of this many-facetted discipline. The diversity of this field of statistics is highlighted by the wide scope of methodological problems discussed in this special issue. Also, the large set of applied scientific disciplines concerned with functional data appears through the numerous curves data set analyzed in these contributions. This introductory paper presents these contributions by emphasizing on how they are taking place in the actual development of statistical methods for analyzing functional data. A special, but not exclusive, place is given to the three more current kinds of problems: factorial analysis of functional data, regression with functional variables and curves classification. The links between functional data analysis and nonparametric statistics deserve a special attention.