Results 41 to 50 of about 12,934,423 (302)
Object-Oriented Software for Functional Data
Journal of Statistical Software, 2020 This paper introduces the funData R package as an object-oriented implementation of functional data. It implements a unified framework for dense univariate and multivariate functional data on one- and higher dimensional domains as well as for irregular ...
Clara Happ-Kurz
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Remaining Useful Life Estimation Using Functional Data Analysis [PDF]
International Conference on Prognostics and Health Management, 2019 Remaining Useful Life (RUL) of an equipment or one of its components is defined as the time left until the equipment or component reaches its end of useful life.
Qiyao Wang +4 more
semanticscholar +1 more source
Recent advances in functional data analysis and high-dimensional statistics
Journal of Multivariate Analysis, 2019 This paper provides a structured overview of the contents of this Special Issue of the Journal of Multivariate Analysis devoted to Functional Data Analysis and Related Topics, along with a brief survey of the field.
Germán Aneiros +4 more
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Nonlinear and additive principal component analysis for functional data
Journal of Multivariate Analysis, 2021 We introduce a nonlinear additive functional principal component analysis (NAFPCA) for vector-valued functional data. This is a generalization of functional principal component analysis and allows the relations among the random functions involved to be ...
Jun Song, Bing Li
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Linear discriminant analysis for multiple functional data analysis
Journal of Applied Statistics, 2020 In multivariate data analysis, Fisher linear discriminant analysis is useful to optimally separate two classes of observations by finding a linear combination of p variables.
S. Gardner-Lubbe
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Selected statistical methods of data analysis for multivariate functional data
, 2018 Data in the form of a continuous vector function on a given interval are referred to as multivariate functional data. These data are treated as realizations of multivariate random processes.
T. Górecki +3 more
semanticscholar +1 more source
Structural Change and Economic Dynamics, 2019 This paper presents a novel, mixed-frequency based regression approach, derived from functional data analysis (FDA), to analyze the effect of global crises on stock market correlations, using a long span of data, dating as far back as early 1800s, thus ...
Sonali Das +3 more
semanticscholar +1 more source
Functional data analysis in the Banach space of continuous functions [PDF]
Annals of Statistics, 2017 Functional data analysis is typically conducted within the $L^2$-Hilbert space framework. There is by now a fully developed statistical toolbox allowing for the principled application of the functional data machinery to real-world problems, often based ...
H. Dette, Kevin Kokot, Alexander Aue
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Survivors of pediatric brain tumors (PBTs) can experience long‐term social difficulties, impacting quality of life. Beyond medical and environmental factors, family psychosocial risk may play a role in social outcomes by shaping the caregiving environment and may provide intervention options.
Renske H. Houben +4 more
wiley +1 more source
Thrombin generation remains stable in frozen plasma over long-term storage
Thrombosis UpdateBackground: The ST Genesia is a fully automated thrombin generation (TG) device. Measuring TG can be useful for medical purposes as it is an indicator for the bleeding or thrombotic risk of a patient.
A. Carlo +3 more
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