Results 31 to 40 of about 1,002,594 (295)
Global features of gene expression on the proteome and transcriptome levels in S. coelicolor during germination. [PDF]
PLoS ONE, 2013 Streptomycetes have been studied mostly as producers of secondary metabolites, while the transition from dormant spores to an exponentially growing culture has largely been ignored.
Eva Strakova +3 more
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Adaptive Functional Principal Component Analysis
, 2023 We introduce Adaptive Functional Principal Component Analysis, a novel method to capture directions of variation in functional data that exhibit sharp changes in smoothness. We first propose a new adaptive scatterplot smoothing technique that is fast and scalable, and then integrate this technique into a probabilistic FPCA framework to adaptively ...
de la Garza, Angel Garcia +3 more
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MFPCA: Multiscale Functional Principal Component Analysis
Proceedings of the AAAI Conference on Artificial Intelligence, 2019 We consider the problem of performing dimension reduction on heteroscedastic functional data where the variance is in different scales over entire domain. The aim of this paper is to propose a novel multiscale functional principal component analysis (MFPCA) approach to address such heteroscedastic issue.
Zhenhua, Lin, Hongtu, Zhu
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Eigen-Adjusted Functional Principal Component Analysis
Journal of Computational and Graphical Statistics, 2022 Functional Principal Component Analysis (FPCA) has become a widely-used dimension reduction tool for functional data analysis. When additional covariates are available, existing FPCA models integrate them either in the mean function or in both the mean function and the covariance function.
Ci-Ren Jiang +3 more
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Short-Term Electricity Demand Forecasting Using a Functional State Space Model
Energies, 2018 In the past several years, the liberalization of the electricity supply, the increase in variability of electric appliances and their use, and the need to respond to the electricity demand in real time has made electricity demand forecasting a challenge.
Komi Nagbe +2 more
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Weakly dependent functional data [PDF]
, 2010 Functional data often arise from measurements on fine time grids and are obtained by separating an almost continuous time record into natural consecutive intervals, for example, days.
Hörmann, Siegfried, Kokoszka, Piotr
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Multilevel sparse functional principal component analysis
Stat, 2014 We consider analysis of sparsely sampled multilevel functional data, where the basic observational unit is a function and data have a natural hierarchy of basic units. An example is when functions are recorded at multiple visits for each subject. Multilevel functional principal component analysis was proposed recently for such data when functions are ...
Di, Chongzhi +2 more
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Complexity, 2021 The study of this theoretical problem enables sparse or dense functional data, including educational information evaluation data. The choice of different weights is subjected to principal component analysis.
Jiping Liu
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Anatomically compliant modes of variations: New tools for brain connectivity.
PLoS ONE, 2023 Anatomical complexity and data dimensionality present major issues when analysing brain connectivity data. The functional and anatomical aspects of the connections taking place in the brain are in fact equally relevant and strongly intertwined.
Letizia Clementi +5 more
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Detecting and handling outlying trajectories in irregularly sampled functional datasets [PDF]
, 2009 Outlying curves often occur in functional or longitudinal datasets, and can be very influential on parameter estimators and very hard to detect visually.
Gervini, Daniel
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