Table of Contents

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   Book Overview
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   Chapter 1 An introduction to the 4th edition of the International Workshop on Functional and Operatorial Statistics
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   Chapter 2 Robust fusion methods for Big Data
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   Chapter 3 Functional linear regression models for scalar responses on remote sensing data: an application to Oceanography
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   Chapter 4 A diagonal componentwise approach for ARB(1) prediction
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   Chapter 5 A general sparse modeling approach for regression problems involving functional data
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   Chapter 6 A time-dependent PDE regularization to model functional data defined over spatio-temporal domains
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   Chapter 7 An asymptotic factorization of the Small–Ball Probability: theory and estimates
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   Chapter 8 Estimating invertible functional time series
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    Chapter 9 On the Geometric Brownian Motion assumption for financial time series
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    Chapter 10 Commutator of projectors and of unitary operators
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    Chapter 11 Permutation tests in the two-sample problem for functional data
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    Chapter 12 Functional data analysis of “Omics” data: how does the genomic landscape influence integration and fixation of endogenous retroviruses?
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    Chapter 13 Functional data analysis in kinematics of children going to school
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    Chapter 14 Parameter estimation of the functional linear model with scalar response with responses missing at random
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    Chapter 15 Variable selection in Functional Additive Regression Models
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    Chapter 16 Functional data analysis approach of Mandel’s h and k statistics in Interlaboratory Studies
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    Chapter 17 High-dimensional functional time series forecasting
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    Chapter 18 Essentials of backward nested descriptors inference
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    Chapter 19 Two-sample tests for multivariate functional data
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    Chapter 20 Functional quantile regression: local linear modelisation
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    Chapter 21 Uniform in the smoothing parameter consistency results in functional regression
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    Chapter 22 Functional data analysis of neuroimaging signals associated with cerebral activity in the brain cortex
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    Chapter 23 On asymptotic properties of functional conditional mode estimation with both stationary ergodic and responses MAR
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    Chapter 24 Predicting the physiological limits of sport stress tests with functional data
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    Chapter 25 An overview of consistency results for depth functionals
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    Chapter 26 Statistical functional depth
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    Chapter 27 Differential interval-wise testing for local inference in Sobolev spaces
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    Chapter 28 Hotelling in Wonderland
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    Chapter 29 Confidence and prediction intervals in semi-functional partial linear regression
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    Chapter 30 Linear causality in the sense of Granger with stationary functional time series
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    Chapter 31 Grouped multivariate functional time series method: An application to mortality forecasting
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    Chapter 32 Tests for separability in nonparametric covariance operators of random surfaces
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    Chapter 33 Contribution of Functional Approach to the Classification and the Identification of Acoustic Emission Source Mechanisms
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    Chapter 34 Parameter regimes in partially functional linear regression for panel data
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    Chapter 35 Registration for Exponential Family Functional Data
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    Chapter 36 Random Functional Variable and Fourier Series