Pages that link to "Item:Q2828626"

The following pages link to The statistics and mathematics of high dimension low sample size asymptotics (Q2828626):

Displaying 29 items.

• Integrative sparse principal component analysis (Q117095) (← links)
• Asymptotic properties of principal component analysis and shrinkage-bias adjustment under the generalized spiked population model (Q131450) (← links)
• Factor-Adjusted Regularized Model Selection (Q150847) (← links)
• PCA and eigen-inference for a spiked covariance model with largest eigenvalues of same asymptotic order (Q398204) (← links)
• On the border of extreme and mild spiked models in the HDLSS framework (Q413760) (← links)
• Boundary behavior in high dimension, low sample size asymptotics of PCA (Q432317) (← links)
• Asymptotic properties of the first principal component and equality tests of covariance matrices in high-dimension, low-sample-size context (Q899373) (← links)
• A guide for sparse PCA: model comparison and applications (Q2073736) (← links)
• Perturbation theory for cross data matrix-based PCA (Q2140856) (← links)
• Nonasymptotic analysis of the Lawley-Hotelling statistic for high-dimensional data (Q2246213) (← links)
• Distributed estimation of principal eigenspaces (Q2284361) (← links)
• On asymptotic normality of cross data matrix-based PCA in high dimension low sample size (Q2293385) (← links)
• Equality tests of high-dimensional covariance matrices under the strongly spiked eigenvalue model (Q2317309) (← links)
• Inference on high-dimensional mean vectors under the strongly spiked eigenvalue model (Q2329874) (← links)
• Information criteria for latent factor models: a study on factor pervasiveness and adaptivity (Q2688660) (← links)
• A general framework for consistency of principal component analysis (Q2834478) (← links)
• Convergence of sample eigenvalues, eigenvectors, and principal component scores for ultra-high dimensional data (Q2874959) (← links)
• A test of sphericity for high-dimensional data and its application for detection of divergently spiked noise (Q4632469) (← links)
• A survey of high dimension low sample size asymptotics (Q4639812) (← links)
• (Q4998879) (← links)
• Asymptotics of eigenstructure of sample correlation matrices for high-dimensional spiked models (Q5004034) (← links)
• Adjusting systematic bias in high dimensional principal component scores (Q5066782) (← links)
• A classifier under the strongly spiked eigenvalue model in high-dimension, low-sample-size context (Q5077372) (← links)
• The Dispersion Bias (Q5080131) (← links)
• FarmTest: Factor-Adjusted Robust Multiple Testing With Approximate False Discovery Control (Q5208092) (← links)
• The high-dimension, low-sample-size geometric representation holds under mild conditions (Q5447664) (← links)
• Robust PCA for high‐dimensional data based on characteristic transformation (Q6075186) (← links)
• A Model-free Variable Screening Method Based on Leverage Score (Q6107196) (← links)
• Large sample correlation matrices with unbounded spectrum (Q6656667) (← links)