Pages that link to "Item:Q1941448"
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The following pages link to Consistency of sparse PCA in high dimension, low sample size contexts (Q1941448):
Displaying 30 items.
- Integrative sparse principal component analysis (Q117095) (← links)
- ``Virus hunting'' using radial distance weighted discrimination (Q262396) (← links)
- Supervised singular value decomposition and its asymptotic properties (Q268716) (← links)
- Reconstruction of a high-dimensional low-rank matrix (Q276225) (← links)
- Sparse PCA-based on high-dimensional Itô processes with measurement errors (Q321930) (← links)
- Sparse principal component analysis and iterative thresholding (Q355104) (← links)
- Minimax bounds for sparse PCA with noisy high-dimensional data (Q366956) (← links)
- Optimal detection of sparse principal components in high dimension (Q385763) (← links)
- PCA consistency for the power spiked model in high-dimensional settings (Q391897) (← links)
- Effective PCA for high-dimension, low-sample-size data with singular value decomposition of cross data matrix (Q990890) (← links)
- PCA consistency in high dimension, low sample size context (Q1043724) (← links)
- Recent developments in high dimensional covariance estimation and its related issues, a review (Q1657856) (← links)
- Optimality and sub-optimality of PCA. I: Spiked random matrix models (Q1800806) (← links)
- Variance variation criterion and consistency in estimating the number of significant signals of high-dimensional PCA (Q2155641) (← links)
- Distributed estimation of principal eigenspaces (Q2284361) (← links)
- Testing and estimating change-points in the covariance matrix of a high-dimensional time series (Q2306269) (← links)
- Sparsistency and agnostic inference in sparse PCA (Q2338928) (← links)
- Large covariance estimation through elliptical factor models (Q2413594) (← links)
- Minimax sparse principal subspace estimation in high dimensions (Q2443207) (← links)
- Sparse PCA: optimal rates and adaptive estimation (Q2443213) (← links)
- The statistics and mathematics of high dimension low sample size asymptotics (Q2828626) (← links)
- A general framework for consistency of principal component analysis (Q2834478) (← links)
- Overview of object oriented data analysis (Q2922172) (← links)
- A survey of high dimension low sample size asymptotics (Q4639812) (← links)
- Discussion (Q5252136) (← links)
- Discussion (Q5252137) (← links)
- Projected principal component analysis in factor models (Q5963521) (← links)
- Estimating structured high-dimensional covariance and precision matrices: optimal rates and adaptive estimation (Q5965313) (← links)
- Sparse correspondence analysis for large contingency tables (Q6084657) (← links)
- Sparse Principal Component Analysis Based on Least Trimmed Squares (Q6636568) (← links)
