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E-book

Title Functional and high-dimensional statistics and related fields Germán Aneiros, Ivana Horová, Marie Huésková, Philippe Vieu, editors
Published Cham : Springer, 2020
©2020

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Description 1 online resource (xxii, 254 pages)
Series Contributions to Statistics
Contributions to statistics.
Contents An introduction to the (postponed) 5th edition of the International Workshop on Functional and Operatorial Statistics -- Chapter Analysis of Telecom Italia Mobile Phone Data by Space-time Regression with Differential Regularization -- Some Numerical Test on the Convergence Rates of Regression with Differential Regularization -- Learning with Signatures -- About the Complexity Function in Small-ball Probability Factorization -- Principal Components Analysis of a Cyclostationary Random Function -- Level Set and Density Estimation on Manifolds -- Pseudo-metrics as Interesting Tool in Nonparametric Functional Regression -- Testing a Specification Form in Single Functional Index Model -- A New Method for Ordering Functional Data and its Application to Diagnostic Test -- A Functional Data Analysis Approach to the Estimation of Densities over Complex Regions
Summary 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, diagnostic tests, dimension reduction, estimation on manifolds, high- and infinite-dimensional statistics, inference on functional data, networks, operatorial statistics, prediction, regression, robustness, sequential learning, small-ball probability, smoothing, spatial data, testing, and topological object data analysis, and includes applications in automobile engineering, criminology, drawing recognition, economics, environmetrics, medicine, mobile phone data, spectrometrics and urban environments. The book gathers selected, refereed contributions presented at the Fifth International Workshop on Functional and Operatorial Statistics (IWFOS) in Brno, Czech Republic. The workshop was originally to be held on June 24-26, 2020, but had to be postponed as a consequence of the COVID-19 pandemic. Initiated by the Working Group on Functional and Operatorial Statistics at the University of Toulouse in 2008, the IWFOS workshops provide a forum to discuss the latest trends and advances in functional statistics and related fields, and foster the exchange of ideas and international collaboration in the field
Notes Print version record
Subject Mathematical statistics -- Congresses
Estadística matemática
Mathematical statistics
Genre/Form Electronic books
proceedings (reports)
Conference papers and proceedings
Conference papers and proceedings.
Actes de congrès.
Form Electronic book
Author Aneiros, Germán
Horová, Ivana.
Hušková, Marie.
Vieu, Philippe.
International Workshop on Functional and Operatorial Statistics (5th : 2020 : Brno, Czech Republic)
ISBN 9783030477561
3030477568
9788303047755
8303047752