Statistical inference for high-dimension, low-sample-size data (Q4568290)

scientific article; zbMATH DE number 6890475

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English	Statistical inference for high-dimension, low-sample-size data	scientific article; zbMATH DE number 6890475

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instance of

scholarly article

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title

Statistical inference for high-dimension, low-sample-size data (English)

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18 June 2018

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describes a project that uses

PRMLT

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ElemStatLearn

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MaRDI profile type

MaRDI publication profile

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full work available at URL

https://doi.org/10.1090/suga/421

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cites work

The high-dimension, low-sample-size geometric representation holds under mild conditions

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Two-Stage Procedures for High-Dimensional Data

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Authors' Response

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Asymptotic normality for inference on multisample, high-dimensional mean vectors under mild conditions

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Geometric Classifier for Multiclass, High-Dimensional Data

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PCA consistency for the power spiked model in high-dimensional settings

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Phase transition of the largest eigenvalue for nonnull complex sample covariance matrices

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Eigenvalues of large sample covariance matrices of spiked population models

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Some theory for Fisher's linear discriminant function, `naive Bayes', and some alternatives when there are many more variables than observations

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Covariance regularization by thresholding

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Regularized estimation of large covariance matrices

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Q5483032

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Basic properties of strong mixing conditions. A survey and some open questions

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Scale adjustments for classifiers in high-dimensional, low sample size settings

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A two-sample test for high-dimensional data with applications to gene-set testing

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Tests for High-Dimensional Covariance Matrices

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A High Dimensional Two Sample Significance Test

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A Significance Test for the Separation of Two Highly Multivariate Small Samples

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Multiple testing and error control in Gaussian graphical model selection

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Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data

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High-dimensional classification using features annealed independence rules

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Multivariate Statistics

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Geometric Representation of High Dimension, Low Sample Size Data

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Large-Scale Correlation Screening

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On the distribution of the largest eigenvalue in principal components analysis

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PCA consistency in high dimension, low sample size context

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Convergence and prediction of principal component scores in high-dimensional settings

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Distance-Weighted Discrimination

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Q5449216

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Asymptotic expansion of the misclassification probabilities of D- and A- criteria for discrimination from two high dimensional populations using the theory of large dimensional random matrices

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Multivariate Theory for Analyzing High Dimensional Data

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Q4856771

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PCA Consistency for Non-Gaussian Data in High Dimension, Low Sample Size Context

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Effective PCA for high-dimension, low-sample-size data with singular value decomposition of cross data matrix

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Intrinsic Dimensionality Estimation of High-Dimension, Low Sample Size Data with<i>D</i>-Asymptotics

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Effective PCA for high-dimension, low-sample-size data with noise reduction via geometric representations

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Inference on high-dimensional mean vectors with fewer observations than the dimension

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Correlation tests for high-dimensional data using extended cross-data-matrix methodology

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Tests for High-Dimensional Regression Coefficients With Factorial Designs

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The Elements of Statistical Learning

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Identifiers

zbMATH Open document ID

1392.62170

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Mathematics Subject Classification ID

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Sitelinks

Mathematics(1 entry)

mardi Publication:4568290