Results 31 to 40 of about 17,164 (153)

Unvealing the Principal Modes of Human Upper Limb Movements through Functional Analysis

open access: yesFrontiers in Robotics and AI, 2017
The rich variety of human upper limb movements requires an extraordinary coordination of different joints according to specific spatio-temporal patterns. However, unvealing these motor schemes is a challenging task.
Giuseppe Averta   +8 more
doaj   +1 more source

Dynamic prediction with time‐dependent marker in survival analysis using supervised functional principal component analysis

open access: yesStatistics in Medicine, 2022
Time‐varying biomarkers reflect important information on disease progression over time. Dynamic prediction for event occurrence on a real‐time basis, utilizing time‐varying information, is crucial in making accurate clinical decisions.
Haolun Shi, Shu Jiang, Jiguo Cao
semanticscholar   +1 more source

Análisis de componentes principales funcionales en series de tiempo económicas (Analysis of principal functional components in economic time series)

open access: yesGECONTEC: Revista Internacional de Gestión del Conocimiento y la Tecnología, 2015
Spanis abstract. El análisis de datos funcionales ha cobrado gran relevancia en los últimos años, convirtiéndose en un importante campo de investigación en la Estadística.
Cristina O. Chávez Chong   +2 more
doaj   +4 more sources

Using functional principal component analysis (FPCA) to quantify sitting patterns derived from wearable sensors

open access: yesInternational Journal of Behavioral Nutrition and Physical Activity
Abstract Background Sedentary behavior (SB) is a recognized risk factor for many chronic diseases. ActiGraph and activPAL are two commonly used wearable accelerometers in SB research. The former measures body movement and the latter measures body posture.
Rong W. Zablocki   +10 more
openaire   +5 more sources

Functional Linear Mixed Models for Irregularly or Sparsely Sampled Data [PDF]

open access: yes, 2015
We propose an estimation approach to analyse correlated functional data which are observed on unequal grids or even sparsely. The model we use is a functional linear mixed model, a functional analogue of the linear mixed model.
Cederbaum, Jona   +3 more
core   +2 more sources

Analysing musical performance through functional data analysis: rhythmic structure in Schumann's Träumerei [PDF]

open access: yes, 2009
Functional data analysis (FDA) is a relatively new branch of statistics devoted to describing and modelling data that are complete functions. Many relevant aspects of musical performance and perception can be understood and quantified as dynamic ...
Almansa, J   +1 more
core   +2 more sources

State space functional principal component analysis to identify spatiotemporal patterns in remote sensing lake water quality

open access: yesStochastic environmental research and risk assessment (Print), 2021
Satellite remote sensing can provide indicative measures of environmental variables that are crucial to understanding the environment. The spatial and temporal coverage of satellite images allows scientists to investigate the changes in environmental ...
M. Gong   +8 more
semanticscholar   +1 more source

Disproportional ventilatory response to incremental exercise in individuals with cerebral palsy

open access: yesDevelopmental Medicine &Child Neurology, EarlyView.
Individuals with cerebral palsy demonstrate a disproportionate ventilatory response during incremental exercise. Compared with typically developing peers, respiratory frequency increases earlier and at comparable exercise intensities, contributing to higher perceived exertion and reduced ventilatory efficiency. At task failure, respiratory frequency is
Linnéa Corell   +14 more
wiley   +1 more source

Functional Data Analysis of Particulate Matter (PM10) in Chungbuk, Korea: An Application of Penalized B-Spline Smoothing and Functional Inference

open access: yesAxioms
Functional data analysis (FDA) provides a framework for representing high-frequency or longitudinal observations as smooth functions, enabling principled dimension reduction and feature extraction.
Eun-Ji Lee   +3 more
doaj   +1 more source

A New Approach to Statistical Inference for Functional Time Series

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT The analysis of time‐indexed functional data plays an important role in the field of business and economic statistics. In the literature, statistical inference for functional time series often involves reducing the dimension of functional data to a finite dimension K$$ K $$, followed by the use of tools from multivariate analysis.
Hanjia Gao, Yi Zhang, Xiaofeng Shao
wiley   +1 more source

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