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Functional and High-Dimensional Statistics and Related Fields

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Cover of 'Functional and High-Dimensional Statistics and Related Fields'

Table of Contents

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    Book Overview
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    Chapter 1 An introduction to the (postponed) 5th edition of the International Workshop on Functional and Operatorial Statistics
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    Chapter 2 Analysis of Telecom Italia Mobile Phone Data by Space-time Regression with Differential Regularization
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    Chapter 3 Some Numerical Test on the Convergence Rates of Regression with Differential Regularization
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    Chapter 4 Learning with Signatures
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    Chapter 5 About the Complexity Function in Small-ball Probability Factorization
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    Chapter 6 Principal Components Analysis of a Cyclostationary Random Function
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    Chapter 7 Level Set and Density estimation on Manifolds
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    Chapter 8 Pseudo-metrics as Interesting Tool in Nonparametric Functional Regression
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    Chapter 9 Testing a Specification Form in Single Functional Index Model
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    Chapter 10 A New Method for Ordering Functional Data and its Application to Diagnostic Test
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    Chapter 11 A Functional Data Analysis Approach to the Estimation of Densities over Complex Regions
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    Chapter 12 A Conformal Approach for Distribution-free Prediction of Functional Data
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    Chapter 13 G-Lasso Network Analysis for Functional Data
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    Chapter 14 Modelling Functional Data with High-dimensional Error Structure
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    Chapter 15 Goodness-of-fit Tests for Functional Linear Models Based on Integrated Projections
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    Chapter 16 From High-dimensional to Functional Data: Stringing Via Manifold Learning
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    Chapter 17 Functional Two-sample Tests Based on Empirical Characteristic Functionals
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    Chapter 18 Some Remarks on the Nelson–Siegel Model
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    Chapter 19 Modeling the Effect of Recurrent Events on Time-to-event Processes by Means of Functional Data
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    Chapter 20 On Robust Training of Regression Neural Networks
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    Chapter 21 Simultaneous Inference for Function-valued Parameters: a Fast and Fair Approach
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    Chapter 22 Single Functional Index Model under Responses MAR and Dependent Observations
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    Chapter 23 O2S2 for the Geodata Deluge
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    Chapter 24 Riemannian Distances between Covariance Operators and Gaussian Processes
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    Chapter 25 Depth in Infinite-dimensional Spaces
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    Chapter 26 Variable Selection in Semiparametric Bi-functional Models
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    Chapter 27 Local Inference for Functional Data Controlling the Functional False Discovery Rate
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    Chapter 28 Optimum Scale Selection for 3D Point Cloud Classification through Distance Correlation
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    Chapter 29 Generalized Functional Partially Linear Single-index Models
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    Chapter 30 Functional Outlier Detection through Probabilistic Modelling
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    Chapter 31 Topological Object Data Analysis Methods with an Application to Medical Imaging
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    Chapter 32 Distribution-free Pointwise Adjusted %-values for Functional Hypotheses
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Title
Functional and High-Dimensional Statistics and Related Fields
Published by
Springer International Publishing, January 2020
DOI 10.1007/978-3-030-47756-1
ISBNs
978-3-03-047755-4, 978-3-03-047756-1
Editors

Germán Aneiros, Ivana Horová, Marie Hušková, Philippe Vieu

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