LAUSR

About LAUSR
Donate
Contact Us

Follow us:

You are not signed in:

Sign Up!


   Articles with "components analysis" as a keyword



Multilevel hybrid principal components analysis for region‐referenced functional electroencephalography data

Sign Up to like & get
recommendations! Published in 2022 at "Statistics in Medicine"

DOI: 10.1002/sim.9445

Abstract: Electroencephalography experiments produce region‐referenced functional data representing brain signals in the time or the frequency domain collected across the scalp. The data typically also have a multilevel structure with high‐dimensional observations collected across multiple experimental… read more here.

Keywords: components analysis; referenced functional; region referenced; analysis ... See more keywords

Classification of samples from NMR-based metabolomics using principal components analysis and partial least squares with uncertainty estimation

Sign Up to like & get
recommendations! Published in 2018 at "Analytical and Bioanalytical Chemistry"

DOI: 10.1007/s00216-018-1240-2

Abstract: AbstractRecent progress in metabolomics has been aided by the development of analysis techniques such as gas and liquid chromatography coupled with mass spectrometry (GC-MS and LC-MS) and nuclear magnetic resonance (NMR) spectroscopy. The vast quantities… read more here.

Keywords: components analysis; classification; uncertainty; analysis ... See more keywords

Rediscovering reliable components analysis: An application to executive function skills in early childhood.

Sign Up to like & get
recommendations! Published in 2022 at "Psychological assessment"

DOI: 10.1037/pas0001179.supp

Abstract: Executive function (EF) assessments often involve the administration of multiple tasks. Although factor analytic methods are routinely used to summarize performance across multiple tasks, they may not be optimal for this purpose. We introduce reliable… read more here.

Keywords: executive function; analysis; rca; components analysis ... See more keywords

Using principal components analysis to examine resting state EEG in relation to task performance.

Sign Up to like & get
recommendations! Published in 2019 at "Psychophysiology"

DOI: 10.1111/psyp.13327

Abstract: Brain dynamics research has highlighted the significance of the ongoing EEG in ERP genesis and cognitive functioning. Few studies, however, have assessed the contributions of the intrinsic resting state EEG to these stimulus-response processes and… read more here.

Keywords: state; components analysis; task; resting state ... See more keywords

Impact of reduced-dimensionality independent components analysis on event-related potential measurements.

Sign Up to like & get
recommendations! Published in 2022 at "Psychophysiology"

DOI: 10.1111/psyp.14223

Abstract: Independent components analysis (ICA) is an effective and ubiquitous tool for cleaning EEG. To reduce computation time, many analysis pipelines decrease EEG dimensionality prior to ICA. A 2018 report by Artoni and colleagues detailed the… read more here.

Keywords: ica; components analysis; independent components; reduced dimensionality ... See more keywords

Investigation of Origanum libanoticum Essential Oils Chemical Polymorphism by Independent Components Analysis (ICA)

Sign Up to like & get
recommendations! Published in 2018 at "Natural Product Communications"

DOI: 10.1177/1934578x1801301237

Abstract: The essential oils obtained from Origanum libanoticum Boiss., a plant endemic to Lebanon, were analyzed by GC/MS. Seventy compounds were identified, covering till 99.8% of the total oil composition. All samples were p-cymene and/or β-caryophyllene… read more here.

Keywords: components analysis; origanum libanoticum; analysis ica; independent components ... See more keywords

Performance assessment of hydrologic uncertainty processor through integration of the principal components analysis

Sign Up to like & get
recommendations! Published in 2019 at "Journal of Water and Climate Change"

DOI: 10.2166/wcc.2017.137

Abstract: Uncertainty analysis is important and should be always considered when using models for flood forecasting. In this paper, the ‘Principal Components Analysis-Hydrologic Uncertainty Processor’ (PCA-HUP) was developed for probabilistic flood forecasting (PFF) and further evaluated… read more here.

Keywords: principal components; performance; components analysis; uncertainty ... See more keywords