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.
General
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