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The efficient cross-validation of principal components applied to principal component regression
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/jsfa.2740350116openalex-snapshot
Application of near infrared reflectance spectroscopy to the compositional analysis of biscuits and biscuit doughs
inferredcites →https://doi.org/10.1007/978-1-4757-1904-8openalex-snapshot
Principal Component Analysis
inferredcites →https://doi.org/10.1007/bf01396012openalex-snapshot
Rank-one modification of the symmetric eigenproblem
inferredcites →https://doi.org/10.1007/bf01397471openalex-snapshot
Updating the singular value decomposition
inferredcites →https://doi.org/10.1016/0024-3795(76)90044-6openalex-snapshot
The behavior of eigenvalues and singular values under perturbations of restricted rank
inferredcites →https://doi.org/10.1016/0031-3203(76)90014-5openalex-snapshot
Pattern recognition by means of disjoint principal components models
inferredcites →https://doi.org/10.1016/0584-8539(90)80069-bopenalex-snapshot
Multivariate calibration
inferredcites →https://doi.org/10.1080/00401706.1978.10489693openalex-snapshot
Cross-Validatory Estimation of the Number of Components in Factor and Principal Components Models
inferredcites →https://doi.org/10.1080/00401706.1987.10488260openalex-snapshot
Plots, Transformations, and Regression
inferredcites →https://doi.org/10.1080/02664768800000004openalex-snapshot
Influential observations in principal component analysis:a case study
inferredcites →https://doi.org/10.1080/03610928108828055openalex-snapshot
Influence functions for certain parameters in multivariate analysis
inferredcites →https://doi.org/10.1093/biomet/72.3.627openalex-snapshot
Influence in Principal Components Analysis
inferredcites →https://doi.org/10.1109/29.103066openalex-snapshot
Efficient, numerically stabilized rank-one eigenstructure updating (signal processing)
inferredcites →https://doi.org/10.1111/j.2517-6161.1974.tb00994.xopenalex-snapshot
Cross-Validatory Choice and Assessment of Statistical Predictions
inferredcites →https://doi.org/10.1111/j.2517-6161.1976.tb01573.xopenalex-snapshot
Cross-Validatory Choice and Assessment of Statistical Predictions (With Discussion)
inferredcites →https://doi.org/10.1111/j.2517-6161.1990.tb01786.xopenalex-snapshot
Continuum Regression: Cross-Validated Sequentially Constructed Prediction Embracing Ordinary Least Squares, Partial Least Squares and Principal Components Regression
inferredcites →https://doi.org/10.1111/j.2517-6161.1991.tb01821.xopenalex-snapshot
Estimating the Mean and Covariance Structure Nonparametrically When the Data are Curves
inferredcites →https://doi.org/10.1111/j.2517-6161.1992.tb01463.xopenalex-snapshot
Corrigendum: Continuum Regression: Cross-Validated Sequentially Constructed Prediction Embracing Ordinary Least Squares, Partial Least Squares and Principal Components Regression
inferredcites →https://doi.org/10.1111/j.2517-6161.1993.tb01930.xopenalex-snapshot
Continuum Regression and Ridge Regression
inferredcites →https://doi.org/10.1137/0908018openalex-snapshot
A Fully Parallel Algorithm for the Symmetric Eigenvalue Problem
inferredcites →https://doi.org/10.1137/1015032openalex-snapshot
Some Modified Matrix Eigenvalue Problems
inferredcites →https://doi.org/10.2307/2348005openalex-snapshot
A Note on the Use of Principal Components in Regression
inferredcites →https://doi.org/10.2307/2348045openalex-snapshot
A Misuse of Ridge Regression in the Calibration of a Near Infrared Reflectance Instrument
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Market-neutral Carry Strategies: Harvesting Carry Without Market Risk
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Efficient cross-validation of principal components
inferred← citeshttps://doi.org/10.1007/s10618-013-0317-yopenalex-snapshot
Subspace clustering of high-dimensional data: a predictive approach
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Exploring the dimensionality of entrepreneurial self-efficacy in entrepreneurs and managers: a cognitive process perspective
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Fast model selection for robust calibration methods
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Statistical downscaling of an air quality model using Fitted Empirical Orthogonal Functions
inferred← citeshttps://doi.org/10.1016/s0893-6080(98)00114-2openalex-snapshot
A loss function approach to model selection in nonlinear principal components
inferred← citeshttps://doi.org/10.1023/a:1008987426876openalex-snapshot
On the use of cross-validation to assess performance in multivariate prediction
inferred← citeshttps://doi.org/10.1038/clpt.2009.296openalex-snapshot
An Integrative Approach for Identifying a Metabolic Phenotype Predictive of Individualized Pharmacokinetics of Tacrolimus
inferred← citeshttps://doi.org/10.1080/07474938.2013.807105openalex-snapshot
A Predictive Approach for Selection of Diffusion Index Models
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A comprehensive analysis of impacts of socio-economic development and land use on river water quality in a megacity-region: a case study
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Reliable Phylogenetic Regressions for Multivariate Comparative Data: Illustration with the MANOVA and Application to the Effect of Diet on Mandible Morphology in Phyllostomid Bats
inferred← citeshttps://doi.org/10.1109/tsmcb.2012.2195171openalex-snapshot
Multivariate Multilinear Regression
inferred← citeshttps://doi.org/10.1111/1467-9469.00144openalex-snapshot
Multivariate Calibration — Direct and Indirect Regression Methodology
inferred← citeshttps://doi.org/10.1111/1467-9574.00174openalex-snapshot
Downdating: Interdisciplinary Research Between Statistics and Computing
inferred← citeshttps://doi.org/10.1137/20m1386694openalex-snapshot
Multifidelity Surrogate Modeling for Time-Series Outputs
inferred← citeshttps://doi.org/10.1255/nirn.908openalex-snapshot
DiagNostics 3: Leave-one-out Residuals and Leverage Correction
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Pharmacometabolomic Approach to Predict QT Prolongation in Guinea Pigs
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Learning Methods in Reproducing Kernel Hilbert Space Based on High-dimensional Features
inferred← citeshttps://doi.org/10.25560/9577openalex-snapshot
Projection Based Models for High Dimensional Data
inferred← citeshttps://doi.org/10.48550/arxiv.1203.1065openalex-snapshot
Subspace clustering of high-dimensional data: a predictive approach
inferred← citeshttps://doi.org/10.48550/arxiv.1502.00471openalex-snapshot
Towards a sparse, scalable, and stably positive definite (inverse) covariance estimator
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Multi-fidelity surrogate modeling adapted to functional outputs for uncertainty quantification of complex models
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