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Functional Data Analysis [PDF]

Annual Review of Statistics and Its Application, 2016
With the advance of modern technology, more and more data are being recorded continuously during a time interval or intermittently at several discrete time points. These are both examples of functional data, which has become a commonly encountered type of data.
Wang, Jane-Ling, Chiou, Jeng-Min, Müller, Hans-Georg   +2 more
openaire   +3 more sources

Investigation on the Alteration of Brain Functional Network and Its Role in the Identification of Mild Cognitive Impairment

Frontiers in Neuroscience, 2020
Mild cognitive impairment (MCI) is generally regarded as a prodromal stage of Alzheimer’s disease (AD). In coping with the challenges caused by AD, we analyzed resting-state functional magnetic resonance imaging data of 82 MCI subjects and 93 normal ...
Lulu Zhang, Huangjing Ni, Zhinan Yu, Jun Wang, Jiaolong Qin, Fengzhen Hou, Albert Yang, Alzheimer’s Disease Neuroimaging Initiative (ADNI)   +7 more
doaj   +1 more source

Looking for Synergies in Healthy Upper Limb Motion: A Focus on the Wrist

IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023
Recent studies on human upper limb motion highlighted the benefit of dimensionality reduction techniques to extrapolate informative joint patterns.
F. Masiero, I. Fagioli, L. Truppa, A. Mannini, L. Cappello, M. Controzzi   +5 more
doaj   +1 more source

Functional Data Analysis of Dynamic PET Data [PDF]

Journal of the American Statistical Association, 2018
One application of positron emission tomography (PET), a nuclear imaging technique, in neuroscience involves in vivo estimation of the density of various proteins (often, neuroreceptors) in the brain. PET scanning begins with the injection of a radiolabeled tracer that binds preferentially to the target protein; tracer molecules are then continuously ...
Yakuan Chen, Jeff Goldsmith, R. Todd Ogden   +2 more
openaire   +2 more sources

High-Dimensional Statistics: Non-Parametric Generalized Functional Partially Linear Single-Index Model

Mathematics, 2022
We study the non-parametric estimation of partially linear generalized single-index functional models, where the systematic component of the model has a flexible functional semi-parametric form with a general link function.
Mohamed Alahiane, Idir Ouassou, Mustapha Rachdi, Philippe Vieu   +3 more
doaj   +1 more source

Thrombomodulin is a stronger indicator of combined oral contraceptives-induced activated protein C pathway resistance in the thrombin generation test than activated protein C

Frontiers in Cardiovascular Medicine
BackgroundThe mechanism by which combined oral contraceptives (COCs) lead to hypercoagulation is not fully understood, although activated protein C (APC) pathway resistance has been implicated.
Marisa Ninivaggi, Lily Sokolova, Lily Sokolova, Demy Donkervoort, Bas de Laat, Bas de Laat, Romy de Laat-Kremers   +6 more
doaj   +1 more source

Application of an Intensive Longitudinal Functional Model with Multiple Time Scales in Objectively Measured Children’s Physical Activity

Mathematics, 2023
This study proposes an intensive longitudinal functional model with multiple time-varying scales and subject-specific random intercepts through mixed model equivalence that includes multiple functional predictors, one or more scalar covariates, and one ...
Mostafa Zahed, Trent Lalonde, Maryam Skafyan   +2 more
doaj   +1 more source

Dual-site Mg2+ substitution in LaFeO3 ceramics: Defect engineering and multifunctional property modulation [PDF]

APL Materials
Pristine LaFeO3 and Mg2+-incorporated La-deficient LaFeO3 (La1−xFeO3−δ:xMg, x = 0.2, 0.4) and Fe-deficient LaFeO3 (LaFe1−xO3−δ:xMg, x = 0.2, 0.4) ceramics were synthesized from nanoparticles prepared via a low-temperature citrate sol-gel process.
Subhajit Nandy, Sayan Ghosh, Vikasmita Samanta, Mya Theingi, Keun Hwa Chae, Chandran Sudakar   +5 more
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Air quality investigation using functional data analysis methods

Lietuvos Matematikos Rinkinys, 2023
In this research paper, a comprehensive analysis of particulate matter (PM10) and nitrogen dioxide (NO2) pollution concentrations in six different Lithuanian regions is presented.
Akvilė Vitkauskaitė, Milda Salytė
doaj   +1 more source

Estimating Growth in Height from Limited Longitudinal Growth Data Using Full-Curves Training Dataset: A Comparison of Two Procedures of Curve Optimization—Functional Principal Component Analysis and SITAR

Children, 2021
A variety of models are available for the estimation of parameters of the human growth curve. Several have been widely and successfully used with longitudinal data that are reasonably complete. On the other hand, the modeling of data for a limited number
Miroslav Králík, Ondřej Klíma, Martin Čuta, Robert M. Malina, Sławomir Kozieł, Lenka Polcerová, Anna Škultétyová, Michal Španěl, Lubomír Kukla, Pavel Zemčík   +9 more
doaj   +1 more source