Results 41 to 50 of about 563,170 (163)
Journal of the Royal Statistical Society Series C: Applied Statistics, 2000 SUMMARY We introduce an algorithm for producing simple approximate principal components directly from a variance–covariance matrix. At the heart of the algorithm is a series of ‘simplicity preserving’ linear transformations. Each transformation seeks a direction within a two-dimensional subspace that has maximum variance.
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Principal Component Projection Without Principal Component Analysis
, 2016 We show how to efficiently project a vector onto the top principal components of a matrix, without explicitly computing these components. Specifically, we introduce an iterative algorithm that provably computes the projection using few calls to any black-box routine for ridge regression.
Frostig, Roy +3 more
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Common functional principal components [PDF]
The Annals of Statistics, 2009 Published in at http://dx.doi.org/10.1214/07-AOS516 the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Benko, Michal +2 more
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Recursive Principal Components Analysis Using Eigenvector Matrix Perturbation
EURASIP Journal on Advances in Signal Processing, 2004 Principal components analysis is an important and well-studied subject in statistics and signal processing. The literature has an abundance of algorithms for solving this problem, where most of these algorithms could be grouped into one of the following ...
Deniz Erdogmus +4 more
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Principal components of thermal regimes in mountain river networks [PDF]
Hydrology and Earth System Sciences, 2018 Description of thermal regimes in flowing waters is key to understanding physical processes, enhancing predictive abilities, and improving bioassessments.
D. J. Isaak +4 more
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Genetic variation among diverse safflower genotypes for some agro-morphological traits
Oilseeds and fats, crops and lipidsThis study sought to investigate the genetic diversity among 100 safflower genotypes concerning seed yield performance and seventeen morphological traits and yield components.
Sabaghnia Naser +2 more
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Euler Principal Component Analysis [PDF]
International Journal of Computer Vision, 2012 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Stephan Liwicki +3 more
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Nonlocal foveated principal components [PDF]
2014 IEEE Workshop on Statistical Signal Processing (SSP), 2014 Patch foveation corresponds to a spatially variant representation where the center of the patch is sharp while the periphery is blurred. This mimics the non-uniformity of the human visual system, whose acuity is maximal at the fixation point (imaged by the fovea, i.e. the central part of the retina) and low at the periphery of the visual field.
Alessandro Foi, BORACCHI, GIACOMO
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Corporate Bankruptcy Prediction Using the Principal Components Method
Корпоративные финансы, 2019 A huge number of articles and papers devoted to the study of bankruptcy prediction problems. Solving the problem of predictive ability many difficulties arise from the processing of data ending with the choice of models and algorithms.
Alexander Grigoriev, Konstantin Tarasov
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gdpc: An R Package for Generalized Dynamic Principal Components
Journal of Statistical Software, 2020 gdpc is an R package for the computation of the generalized dynamic principal components proposed in Peña and Yohai (2016). In this paper, we briefly introduce the problem of dynamical principal components, propose a solution based on a reconstruction ...
Daniel Peña +2 more
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