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FEBS Open Bio, EarlyView.During the current opioid crisis, the majority of overdose deaths are attributed to ultra‐potent synthetic opioids, such as fentanyl. While fentanyl exerts its action via opioid receptors, we propose that potassium channels in the brain blood vessels may also sense fentanyl.
Shiwani Thapa +4 more
wiley +1 more source
Shared Functional Representation and Genomic Region Association Analysis of Longitudinal Phenotypes in Rice. [PDF]
Entropy (Basel)Ji Y, Chen X.
europepmc +1 more source
Localized Functional Principal Component Analysis [PDF]
Journal of the American Statistical Association, 2015 We propose localized functional principal component analysis (LFPCA), looking for orthogonal basis functions with localized support regions that explain most of the variability of a random process. The LFPCA is formulated as a convex optimization problem through a novel deflated Fantope localization method and is implemented through an efficient ...
Kehui Chen, Jing Lei
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Multilevel Functional Principal Component Analysis
Annals of Applied Statistics, 2009 Published in at http://dx.doi.org/10.1214/08-AOAS206 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Brian Caffo +2 more
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Supervised functional principal component analysis
Statistics and Computing, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yunlong Nie +3 more
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Principal Components Analysis of Sampled Functions
Psychometrika, 1986This paper describes a technique for principal components analysis of data consisting of n functions each observed at p argument values. This problem arises particularly in the analysis of longitudinal data in which some behavior of a number of subjects
Besse, Philippe, Ramsay, J. O.
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Sensitivity analysis in functional principal component analysis
Computational Statistics, 2005Penalized functional principal components analysis (PCA) is considered. Sensitivity analysis based on the empirical influence functions (EIF) is discussed. EIFs are calculated for a fixed penalty parameter \(\lambda\) and for \(\lambda\) obtained by cross-validation. Cook's distances are proposed for single-case diagnostics.
Yoshihiro Yamanishi, Yutaka Tanaka
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Principal component analysis of infinite variance functional data
Journal of Multivariate Analysis, 2023zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Piotr Kokoszka, Rafal Kulik
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A Wavelet Approach to Functional Principal Component Analysis
1998The aim of this paper is to approximate the estimates in the principal component analysis of a continuous time stochastic process (functional PCA) by using wavelet methods. A short review of estimating in the functional PCA leads to the problem of solving the integral equation with the covariance function as kernel.
Francisco A. Ocaña +2 more
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Uncertainty in functional principal component analysis
Journal of Applied Statistics, 2016ABSTRACTPrincipal component analysis (PCA) and functional principal analysis are key tools in multivariate analysis, in particular modelling yield curves, but little attention is given to questions of uncertainty, neither in the components themselves nor in any derived quantities such as scores.
James Sharpe, Nick Fieller
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