Pages that link to "Item:Q1848863"
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The following pages link to On the distribution of the largest eigenvalue in principal components analysis (Q1848863):
Displaying 50 items.
- On estimation in the reduced-rank regression with a large number of responses and predictors (Q495393) (← links)
- Extreme value analysis for the sample autocovariance matrices of heavy-tailed multivariate time series (Q508723) (← links)
- High-dimensional rank tests for sphericity (Q512015) (← links)
- Cleaning large correlation matrices: tools from random matrix theory (Q521794) (← links)
- Spectral radii of large non-Hermitian random matrices (Q521971) (← links)
- Considering Horn's parallel analysis from a random matrix theory point of view (Q525237) (← links)
- Estimation of (near) low-rank matrices with noise and high-dimensional scaling (Q548547) (← links)
- VC dimensions of principal component analysis (Q603853) (← links)
- On information plus noise kernel random matrices (Q605943) (← links)
- Statistical inference for functional relationship between the specified and the remainder populations (Q614520) (← links)
- On the distribution of the ratio of the largest eigenvalue to the trace of a Wishart matrix (Q618160) (← links)
- High-dimensionality effects in the Markowitz problem and other quadratic programs with linear constraints: risk underestimation (Q620558) (← links)
- Convergence and prediction of principal component scores in high-dimensional settings (Q620562) (← links)
- Statistical distribution of quantum entanglement for a random bipartite state (Q629889) (← links)
- On a model selection problem from high-dimensional sample covariance matrices (Q634554) (← links)
- Limiting laws of coherence of random matrices with applications to testing covariance structure and construction of compressed sensing matrices (Q638800) (← links)
- Eigenvectors of some large sample covariance matrix ensembles (Q644783) (← links)
- Central limit theorem for Hotelling's \(T^{2}\) statistic under large dimension (Q655585) (← links)
- Random tensor theory: Extending random matrix theory to mixtures of random product states (Q664332) (← links)
- Exact distributional computations for Roy's statistic and the largest eigenvalue of a Wishart distribution (Q692963) (← links)
- Test for bandedness of high-dimensional covariance matrices and bandwidth estimation (Q693724) (← links)
- Edge universality of correlation matrices (Q693745) (← links)
- Partial estimation of covariance matrices (Q714954) (← links)
- Large complex correlated Wishart matrices: fluctuations and asymptotic independence at the edges (Q726805) (← links)
- Central limit theorems for eigenvalues in a spiked population model (Q731681) (← links)
- Exact and asymptotic tests on a factor model in low and large dimensions with applications (Q739589) (← links)
- A distance-based, misclassification rate adjusted classifier for multiclass, high-dimensional data (Q741160) (← links)
- Sampled forms of functional PCA in reproducing kernel Hilbert spaces (Q741794) (← links)
- Local expectations of the population spectral distribution of a high-dimensional covariance matrix (Q744778) (← links)
- A robust test for sphericity of high-dimensional covariance matrices (Q746886) (← links)
- Effective PCA for high-dimension, low-sample-size data with noise reduction via geometric representations (Q764487) (← links)
- On sample eigenvalues in a generalized spiked population model (Q765838) (← links)
- Principal components in linear mixed models with general bulk (Q820811) (← links)
- Central limit theorem for linear spectral statistics of general separable sample covariance matrices with applications (Q826962) (← links)
- Goodness-of-fit test for latent block models (Q829718) (← links)
- Bayesian regularization of Gaussian graphical models with measurement error (Q830423) (← links)
- High-dimensional analysis of semidefinite relaxations for sparse principal components (Q834367) (← links)
- The largest sample eigenvalue distribution in the rank 1 quaternionic spiked model of Wishart ensemble (Q838000) (← links)
- The spectrum of kernel random matrices (Q847627) (← links)
- Estimation of high-dimensional prior and posterior covariance matrices in Kalman filter vari\-ants (Q864265) (← links)
- A rate of convergence result for the largest eigenvalue of complex white Wishart matrices (Q874730) (← links)
- Regularization in statistics (Q882931) (← links)
- Minimax estimation in sparse canonical correlation analysis (Q888508) (← links)
- Strong limit of the extreme eigenvalues of a symmetrized auto-cross covariance matrix (Q894819) (← links)
- Approximation of rectangular beta-Laguerre ensembles and large deviations (Q895890) (← links)
- Distribution of the largest root of a matrix for Roy's test in multivariate analysis of variance (Q900830) (← links)
- High dimensional posterior convergence rates for decomposable graphical models (Q902216) (← links)
- A note on biorthogonal ensembles (Q935072) (← links)
- Extremal theory for spectrum of random discrete Schrödinger operator. I: Asymptotic expansion formulas (Q937093) (← links)
- Asymptotic results in canonical discriminant analysis when the dimension is large compared to the sample size (Q947247) (← links)