Results 21 to 30 of about 17,400 (155)

Multilevel functional principal component analysis

open access: yesAnnals of Applied Statistics, 2009
The Sleep Heart Health Study (SHHS) is a comprehensive landmark study of sleep and its impacts on health outcomes. A primary metric of the SHHS is the in-home polysomnogram, which includes two electroencephalographic (EEG) channels for each subject, at ...
Caffo, Brian S.   +3 more
core   +4 more sources

Fast Bayesian Functional Principal Components Analysis. [PDF]

open access: yesJ Comput Graph Stat
Functional Principal Components Analysis (FPCA) is a widely used analytic tool for dimension reduction of functional data. Traditional implementations of FPCA estimate the principal components from the data, then treat these estimates as fixed in ...
Sartini J   +4 more
europepmc   +2 more sources

Multilevel Multivariate Functional Principal Component Analysis of Evoked and Induced Event-Related Spectral Perturbations. [PDF]

open access: yesStat Biosci
Event-related spectral perturbations (ERSPs) capture dynamic changes in electroencephalography (EEG) power across frequency and trial time. Even though they are obtained at the trial level, they are commonly averaged across trials and analyzed at the ...
Dong M   +12 more
europepmc   +2 more sources

A Novel Longitudinal Proteomic Aging Index Predicts Mortality, Multimorbidity, and Frailty in Older Adults. [PDF]

open access: yesAging Cell
We used proteomic data from three longitudinal visits in the ARIC study to construct a single longitudinal proteomic aging index (LPAI) that captures both cumulative aging burden and dynamic aging trajectories. Higher LPAI was associated with increased risks of mortality, frailty, and multimorbidity.
Rao Z   +14 more
europepmc   +2 more sources

Phenological Variation and Evolution Across Space and Time in the Scarlet Monkeyflower (<i>Erythranthe cardinalis</i>). [PDF]

open access: yesEcol Evol
Climate change is altering ecological dynamics, particularly in species with latitudinal range variation. This study investigates how the scarlet monkeyflower's flowering phenology has evolved in response to recent droughts in California. We find that southern populations are flowering later and larger, while northern populations flower earlier and ...
Waits J   +5 more
europepmc   +2 more sources

Analysis of the regional differences between fixed assets investment and China's economic growth from the perspective of functional data [PDF]

open access: yesMATEC Web of Conferences, 2021
Investment, consumption and export are the troika which promotes China's economic development. Investment is the most important factor and plays a vital role to drive economic growth.
Cheng Tianqi   +3 more
doaj   +1 more source

Optimal Estimation of Large Functional and Longitudinal Data by Using Functional Linear Mixed Model

open access: yesMathematics, 2022
The estimation of large functional and longitudinal data, which refers to the estimation of mean function, estimation of covariance function, and prediction of individual trajectory, is one of the most challenging problems in the field of high ...
Mengfei Ran, Yihe Yang
doaj   +1 more source

Application of Functional Principal Component Analysis in the Spatiotemporal Land-Use Regression Modeling of PM2.5

open access: yesAtmosphere, 2023
Functional data are generally curves indexed over a time domain, and land-use regression (LUR) is a promising spatial technique for generating high-resolution spatial estimation of retrospective long-term air pollutants.
Mahmood Taghavi   +6 more
doaj   +1 more source

Quantile-based Clustering for Functional Data via Modelling Functional Principal Components Scores

open access: yesJournal of Physics: Conference Series, 2023
Clustering tasks of functional data arise naturally in many applications, and efficient classification approaches are needed to find groups. The current paper combines the quantile-based model with the principal component analysis of functional data ...
M. Hael   +3 more
semanticscholar   +1 more source

Power transformer oil–paper insulation degradation modelling and prediction method based on functional principal component analysis

open access: yesIET Science, Measurement & Technology, 2022
This study is for the case where the available data of power transformer oil–paper insulation is limited to a small amount furfural data, to solve the problems in oil–paper insulation degradation modelling, such as few samples available, unknown function
Yuehan Qu   +4 more
doaj   +1 more source

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