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Biometrics, ISSN 0006-341X, 09/2017, Volume 73, Issue 3, pp. 802 - 810
Summary Functional principal component analysis (FPCA) is a popular approach in functional data analysis to explore major sources of variation in a sample of... 
Eigenfuntions | Robust Estimation | Functional Data Analysis | Curve Variation | REGRESSION | CHOICE | BIOLOGY | MATHEMATICAL & COMPUTATIONAL BIOLOGY | STATISTICS & PROBABILITY | LONGITUDINAL DATA | LINEAR-MODELS | Principal Component Analysis | Analysis | Information management
Journal Article
Annals of Applied Statistics, ISSN 1932-6157, 03/2009, Volume 3, Issue 1, pp. 458 - 488
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... 
Functional principal component analysis (FPCA) | Multilevel models | SLEEP | MODELS | EEG | POWER | STATISTICS & PROBABILITY | multilevel models | AGE | Statistics - Applications
Journal Article
Biometrics, ISSN 0006-341X, 09/2016, Volume 72, Issue 3, pp. 846 - 854
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 07/2015, Volume 110, Issue 511, pp. 1266 - 1275
We propose localized functional principal component analysis (LFPCA), looking for orthogonal basis functions with localized support regions that explain most... 
Orthogonality | Convex optimization | Interpretability | Deflation | Domain selection | Functional principal component analysis | REGRESSION | MORTALITY | RATES | STATISTICS & PROBABILITY | deflation | interpretability | convex optimization | domain selection | orthogonality | functional principal component analysis
Journal Article
Statistics and Computing, ISSN 0960-3174, 5/2018, Volume 28, Issue 3, pp. 713 - 723
Journal Article
Journal of Computational and Graphical Statistics, ISSN 1061-8600, 10/2019, Volume 28, Issue 4, pp. 993 - 1006
We introduce a novel method of principal component analysis for data with varying domain lengths for each functional observation. We refer to this technique as... 
Dimension reduction | Longitudinal data | Functional data analysis | Nonparametric statistics
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 07/2015, Volume 110, Issue 511, pp. 1100 - 1111
Principal component analysis is a widely used technique that provides an optimal lower-dimensional approximation to multivariate or functional datasets. These... 
Sparse data | Robust estimation | Functional data analysis | DISTRIBUTIONS | RANK APPROXIMATION | PROJECTION-PURSUIT APPROACH | OUTLIER | DISPERSION MATRICES | FAST ALGORITHM | STATISTICS & PROBABILITY | ROBUST PCA | COVARIANCE
Journal Article
Journal Article
Neural Computation, ISSN 1530-888X, 11/2009, Volume 21, Issue 11, pp. 3179 - 3213
This letter discusses the robustness issue of kernel principal component analysis. A class of new robust procedures is proposed based on eigenvalue... 
Letters | FUNCTIONAL PRINCIPAL | NEUROSCIENCES | ESTIMATORS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Linear Models | Reproducibility of Results | Algorithms | Models, Statistical | Principal Component Analysis - methods | Humans
Journal Article
Psychological Methods, ISSN 1082-989X, 9/2007, Volume 12, Issue 3, pp. 336 - 358
The authors provide a didactic treatment of nonlinear (categorical) principal components analysis (PCA). This method is the nonlinear equivalent of standard... 
CATPCA | nonlinear principal components analysis | categorical variables | PCA | PSYCHOLOGY, MULTIDISCIPLINARY | NUMBER | RULES | TRANSFORMATIONS | Computer Software | Computation | Statistical Analysis | Measurement Techniques | Likert Scales | Principal Components Analysis | Models, Psychological | Child | Humans | Research | Nonlinear functional analysis | Psychology | Methods
Journal Article
Chemometrics and Intelligent Laboratory Systems, ISSN 0169-7439, 01/2020, Volume 196, p. 103897
Journal Article
Physical chemistry chemical physics : PCCP, ISSN 1463-9076, 12/2014, Volume 16, Issue 46, pp. 25364 - 25376
The theoretical study of Mn(salen) catalysts has been traditionally performed under the assumption that Mn(acacen') (acacen' =... 
Journal Article
Electronic Journal of Statistics, ISSN 1935-7524, 2010, Volume 4, pp. 1022 - 1054
We introduce models for the analysis of functional data observed at multiple time points. The dynamic behavior of functional data is decomposed into a... 
Karhunen-Loève expansion | Mixed effects model | Functional data analysis | Diffusion tensor imaging | Longitudinal data analysis | REGRESSION | TRACT | MODELS | COEFFICIENT | TRACTOGRAPHY | functional data analysis | Karhunen-Loeve expansion | longitudinal data analysis | STATISTICS & PROBABILITY | mixed effects model
Journal Article
Journal Article
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