Functional and High-Dimensional Statistics and Related Fields

This book presents the latest research on the statistical analysis of functional, high-dimensional and other complex data, addressing methodological and computational aspects, as well as real-world applications. It covers topics like classification, confidence bands, density estimation, depth, diagn...

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Bibliographic Details
Other Authors: Aneiros, Germán (Editor), Horová, Ivana (Editor), Hušková, Marie (Editor), Vieu, Philippe (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2020, 2020
Edition:1st ed. 2020
Series:Contributions to Statistics
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • 12 A Conformal Approach for Distribution-free Prediction of Functional Data
  • 13 G-Lasso Network Analysis for Functional Data
  • 14 Modelling Functional Data with High-dimensional Error Structure
  • 15 Goodness-of-fit Tests for Functional Linear Models Based on Integrated Projections
  • 16 From High-dimensional to Functional Data: Stringing Via Manifold Learning
  • 17 Functional Two-sample Tests Based on Empirical Characteristic Functionals
  • 18 Some Remarks on the Nelson–Siegel Model
  • 19 Modeling the Effect of Recurrent Events on Time-to-event Processes by Means of Functional Data
  • 20 On Robust Training of Regression Neural Networks
  • 21 Simultaneous Inference for Function-valued Parameters: a Fast and Fair Approach
  • 22 Single Functional Index Model under Responses MAR and Dependent Observations
  • 23 O2S2 for the Geodata Deluge
  • 24 Riemannian Distances between Covariance Operators and Gaussian Processes
  • 25 Depth in Infinite-dimensional Spaces
  • 26 Variable Selection in Semiparametric Bi-functional Models
  • 27 Local Inference for Functional Data Controlling the Functional False Discovery Rate
  • 28 Optimum Scale Selection for 3D Point Cloud Classification through Distance Correlation
  • 29 Generalized Functional Partially Linear Single-index Models
  • 30 Functional Outlier Detection through Probabilistic Modelling
  • 31 Topological Object Data Analysis Methods with an Application to Medical Imaging
  • 32 Distribution-free Pointwise Adjusted %-values for Functional Hypotheses
  • Authors Index
  • Preface
  • List of Contributors
  • 1 An introduction to the (postponed) 5th edition of the International Workshop on Functional and Operatorial Statistics
  • 2 Analysis of Telecom Italia Mobile Phone Data by Space-time Regression with Differential Regularization
  • 3 Some Numerical Test on the Convergence Rates of Regression with Differential Regularization
  • 4 Learning with Signatures
  • 5 About the Complexity Function in Small-ball Probability Factorization
  • 6 Principal Components Analysis of a Cyclostationary Random Function
  • 7 Level Set and Density Estimation on Manifolds
  • 8 Pseudo-metrics as Interesting Tool in Nonparametric Functional Regression
  • 9 Testing a Specification Form in Single Functional Index Model
  • 10 A New Method for Ordering Functional Data and its Application to Diagnostic Test
  • 11 A Functional Data Analysis Approach to the Estimation of Densities over Complex Regions